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About Me

class LovnishVerma:
    def __init__(self):
        self.role = "Project Engineer (AI/ML)"
        self.organization = "NIELIT Ropar (Deemed to be University), Punjab, India"
        self.domain = ["AI/ML Engineering", "Research Engineering", "e-Governance AI"]
        self.specialization = [
            "Generative AI & LLMs",
            "Computer Vision & Deep Learning",
            "Full-Stack AI Deployment",
            "Edge AI & IoT",
            "Blockchain Systems"
        ]
        self.tech_stack = {
            "ml_frameworks": ["PyTorch", "TensorFlow", "Keras", "Scikit-learn", "XGBoost"],
            "llm_stack": ["LangChain", "HuggingFace", "Transformers", "RAG", "LoRA/QLoRA"],
            "cv_tools": ["YOLOv8", "OpenCV", "Dlib", "Face Recognition"],
            "backend": ["Flask", "Django", "FastAPI", "Node.js"],
            "frontend": ["React", "Next.js", "Streamlit", "Gradio"],
            "databases": ["MongoDB", "PostgreSQL", "MySQL", "SQLite", "Redis", "ChromaDB"],
            "cloud_edge": ["AWS", "GCP", "Docker", "NVIDIA Jetson", "ESP8266"],
            "blockchain": ["Ethereum", "Solidity", "Web3.js"]
        }
        self.impact = {
            "students_trained": 800,
            "govt_officials_trained": 400,
            "publications": 5,
            "hackathon_rank": "2nd Runner Up (1,552 teams)"
        }
        self.contact = "princelv84@gmail.com"
    
    def current_focus(self):
        return [
            "Production RAG pipelines for institutional knowledge systems",
            "LLM fine-tuning and quantization for edge deployment",
            "MLOps pipelines with model monitoring and A/B testing",
            "Multimodal AI (vision + language) for e-Governance",
            "Agentic AI workflows for autonomous decision systems"
        ]
    
    def collaborate_on(self):
        return [
            "AI/ML Research (papers, experiments, benchmarks)",
            "Open-source ML tools and frameworks",
            "e-Governance AI solutions at scale",
            "Edge AI and embedded intelligence",
            "Blockchain + AI hybrid systems"
        ]

Technical Architecture

AI / ML & Deep Learning

Generative AI & LLMs

Full-Stack Development

Databases & Vector Stores

Cloud, DevOps & Edge

Blockchain & Web3

Programming Languages


Featured Engineering Projects

Comprehensive Python, Data Science & Deep Learning Learning Repository

Python NumPy Pandas Scikit-learn TensorFlow Deep Learning

  • Comprehensive collection of 50+ hands-on Jupyter & Google Colab notebooks covering Python, Data Science, Machine Learning, and Deep Learning from beginner to advanced level.
  • Production-oriented tutorials with real-world datasets, feature engineering, data visualization, model evaluation, and deployment-ready workflows.
  • Covers supervised learning, unsupervised learning, deep learning, computer vision, natural language processing, and end-to-end AI project development.
  • Designed as a practical learning resource for students, educators, researchers, and industry professionals with reusable code and exercises.

Python Getting Started

Professional AI, Data Science & Deep Learning Teaching Resources

PowerPoint PDF Python AI/ML Deep Learning Data Science

  • Extensive repository of professionally designed presentations, lecture notes, PDFs, and classroom materials covering AI, Machine Learning, Deep Learning, Data Science, IoT, Cloud Computing, and emerging technologies.
  • Educational content developed for university students, faculty development programmes, government officials, and industry-oriented technical training.
  • Includes structured slide decks, practical demonstrations, hands-on lab manuals, workshop content, and complete course material for classroom delivery.
  • Continuously updated knowledge repository supporting educators, trainers, researchers, and learners with industry-relevant technical resources.

Slides PPTs PDFs

Production CNN-based MRI Analysis System โ€” 95%+ Accuracy

TensorFlow Keras CNN Flask MongoDB Hugging Face Spaces

  • End-to-end medical imaging pipeline: MRI upload โ†’ preprocessing โ†’ classification โ†’ report generation
  • CNN architecture optimized for medical imaging with data augmentation and transfer learning
  • REST API backend with Flask; deployed on Hugging Face Spaces for public access
  • MongoDB for patient record management and diagnostic history tracking

Brain Tumor

Domain-Specific Fine-tuned SLM on Llama-3.2-1B

LLaMA-3.2-1B SFT LoRA Gradio Hugging Face

  • Full fine-tuning pipeline: institutional data curation โ†’ tokenization โ†’ LoRA adaptation โ†’ evaluation
  • Eliminates hallucination by grounding responses in verified institutional knowledge base
  • Lightweight 1B parameter model optimized for CPU inference without GPU dependency
  • Custom Gradio interface with streaming responses and conversation history

NIELIT AI Assistant

Ethereum-based Anti-Forgery Certificate System

Flask Django Ethereum Solidity Web3.js SQLite

  • Smart contract architecture for immutable certificate storage on Ethereum testnet
  • Complete DApp: certificate issuance (institution), verification (public), revocation (authority)
  • Web3.js integration for blockchain interactions; MetaMask wallet authentication
  • Dual-backend system: Flask for API, Django for admin dashboard and certificate management

CertiChain

YOLOv8 Dynamic Signal Optimization + Emergency Detection

YOLOv8 CNN OpenCV Streamlit Computer Vision

  • Real-time 4-way intersection optimization using dynamic signal timing algorithms
  • Emergency vehicle detection and priority routing with YOLOv8 object classification
  • Traffic density estimation with vehicle counting and flow analysis
  • Streamlit dashboard with live video feed processing and analytics visualization

SmartLane AI

Real-time Face Recognition + Emotion Detection Pipeline

Python OpenCV Dlib CNN Streamlit SQLite

  • Multi-face detection and recognition pipeline with anti-spoofing measures
  • Real-time emotion classification (7 classes) using CNN-based facial expression analysis
  • SQLite backend with attendance logs, reports, and analytics export
  • Optimized for classroom-scale deployment with sub-second recognition latency

Face & Emotion AI Attendance

NLP Sentence Transformers on Large-Scale Goodreads Dataset

Sentence Transformers NLP Semantic Search Gradio Hugging Face

  • Semantic similarity engine using all-MiniLM-L6-v2 embeddings on 10K+ book corpus
  • Sub-second plot-based recommendation with vector similarity search
  • Interactive Gradio UI with filters for genre, rating, and publication year
  • Hugging Face Spaces deployment with zero infrastructure cost

Book Recommendations

Ensemble ML for Early Diabetes Risk Assessment

Scikit-learn Ensemble ML Pandas Streamlit Hugging Face

  • Stacked ensemble combining Random Forest, XGBoost, and Logistic Regression
  • Feature engineering pipeline with clinical domain knowledge integration
  • Risk scoring system with explainability using SHAP values
  • Production deployment on Hugging Face Spaces with REST API endpoint

Diabetes Streamlit

Enterprise Nomination & Document Management Platform for NIELIT Chandigarh

Flask MongoDB Cloudinary ReportLab Python Google Apps Script

  • Complete web-based nomination portal with dynamic course scheduling for FutureSkills PRIME programs, including Big Data, AI, AR/VR, and other emerging technology courses.
  • Automated generation of professional PDF and DOCX nomination forms with integrated digital signature capture and intelligent image aspect-ratio scaling.
  • Cloud-native architecture leveraging MongoDB for data persistence, Cloudinary for secure document storage, and Google Apps Script API for automated email notifications.
  • Advanced administrative dashboard featuring real-time application management, instant multi-record search, bulk ZIP downloads, status tracking, and comprehensive reporting.

FutureSkills PRIME

Production ESP8266 Home Automation with OTA Updates

C++ (Arduino) ESP8266 DHT11 REST API OTA Firmware HTTP Auth

  • Dual appliance wireless control with relay-based switching and safety mechanisms
  • Environmental monitoring: temperature, humidity with threshold-based alerting
  • Over-the-air firmware updates for remote maintenance and feature deployment
  • HTTP Basic Auth and endpoint protection for production-grade security

Smart Lab

๐Ÿ›๏ธ JustBuying.in

Modern WooCommerce Custom Themed E-Commerce Platform

WordPress WooCommerce PHP MySQL Apache

  • JustBuying is a complete WooCommerce-based e-commerce platform developed using WordPress with a fully customized storefront.
  • The project was built to provide a modern online shopping experience with optimized performance, secure payment workflows, mobile responsiveness, and scalable architecture suitable for production deployments.
  • This repository is maintained as a professional portfolio demonstrating full-stack WordPress and WooCommerce development.

JustBuying

CUDA-Accelerated Real-time Attendance on NVIDIA Jetson

Python Dlib (CUDA) OpenCV (GPU) NVIDIA Jetson Nano/Orin

  • Edge-optimized face recognition pipeline using Dlib with CUDA acceleration
  • Real-time face encoding and matching with SQLite-backed attendance records
  • Hardware-optimized for resource-constrained Jetson Nano with 4GB RAM
  • GPU-accelerated inference achieving 30+ FPS on edge hardware

Face Recog

Flask + Gemini AI Resume Scoring with Auto-Shortlisting

Flask Gemini AI Python Pandas SMTP ATS Parsing

  • ATS-grade resume parsing with structured data extraction (skills, experience, education)
  • AI-powered scoring using Gemini API with customizable evaluation criteria
  • Automated candidate shortlisting pipeline with email notifications
  • Multi-format support: PDF, DOCX parsing with text normalization

Resume Data Extractor


Engineering Arsenal

System Architecture Patterns

โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”
โ”‚                    AI/ML PRODUCTION STACK                       โ”‚
โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”ค
โ”‚                                                                 โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ” โ”‚
โ”‚  โ”‚   Data      โ”‚โ”€โ”€โ”€โ–ถโ”‚   Model     โ”‚โ”€โ”€โ”€โ–ถโ”‚   Deployment        โ”‚ โ”‚
โ”‚  โ”‚   Layer     โ”‚    โ”‚   Layer     โ”‚    โ”‚   Layer             โ”‚ โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”‚         โ”‚                  โ”‚                       โ”‚             โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”    โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ–ผโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”  โ”‚
โ”‚  โ”‚ โ€ข Pandas    โ”‚    โ”‚ โ€ข PyTorch   โ”‚    โ”‚ โ€ข Hugging Face     โ”‚  โ”‚
โ”‚  โ”‚ โ€ข NumPy     โ”‚    โ”‚ โ€ข TensorFlowโ”‚    โ”‚   Spaces           โ”‚  โ”‚
โ”‚  โ”‚ โ€ข OpenCV    โ”‚    โ”‚ โ€ข Scikit-   โ”‚    โ”‚ โ€ข Streamlit Cloud  โ”‚  โ”‚
โ”‚  โ”‚ โ€ข Spark     โ”‚    โ”‚   Learn     โ”‚    โ”‚ โ€ข Docker           โ”‚  โ”‚
โ”‚  โ”‚ โ€ข SQL/NoSQL โ”‚    โ”‚ โ€ข YOLOv8    โ”‚    โ”‚ โ€ข AWS/GCP          โ”‚  โ”‚
โ”‚  โ”‚ โ€ข ETL Pipes โ”‚    โ”‚ โ€ข Transformers    โ”‚ โ€ข NVIDIA Jetson    โ”‚  โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜    โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜ โ”‚
โ”‚                                                                 โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”โ”‚
โ”‚  โ”‚              LLM & GENERATIVE AI STACK                      โ”‚โ”‚
โ”‚  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”คโ”‚
โ”‚  โ”‚ โ€ข RAG Pipelines (ChromaDB/Pinecone + LangChain)            โ”‚โ”‚
โ”‚  โ”‚ โ€ข Fine-tuning (LoRA/QLoRA on Llama/Gemma/Mistral)          โ”‚โ”‚
โ”‚  โ”‚ โ€ข Quantization (GGUF/ONNX for edge)                        โ”‚โ”‚
โ”‚  โ”‚ โ€ข Prompt Engineering & Chain-of-Thought                    โ”‚โ”‚
โ”‚  โ”‚ โ€ข Multi-modal (Vision + Language)                          โ”‚โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜โ”‚
โ”‚                                                                 โ”‚
โ”‚  โ”Œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”โ”‚
โ”‚  โ”‚              BLOCKCHAIN & WEB3 STACK                        โ”‚โ”‚
โ”‚  โ”œโ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”คโ”‚
โ”‚  โ”‚ โ€ข Smart Contract Development (Solidity)                    โ”‚โ”‚
โ”‚  โ”‚ โ€ข DApp Integration (Web3.js/Ethers.js)                     โ”‚โ”‚
โ”‚  โ”‚ โ€ข Certificate Verification (Ethereum)                      โ”‚โ”‚
โ”‚  โ”‚ โ€ข MetaMask Authentication Flow                             โ”‚โ”‚
โ”‚  โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜โ”‚
โ””โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”€โ”˜

Research & Publications

# Research Title Venue Year Status
1 Design and Evaluation of a DID-Based Accountability Framework for Resource-Constrained IoT Devices Springer LNNS 2026 Accepted
2 Explainable AI for Web and Text Mining IJDT Jan 2025 Published
3 Pioneering Advances in AI, Machine Learning, and Big Data Analytics Springer Book Chapter 2025 Published
4 Blockchain-Based Certificate Verification System: A Decentralized Approach Springer LNNS Jul 2024 Published
5 IoT-Based Remote Control and Monitoring of Electrical Appliances IJDT 2024 Published

Research Profiles: ORCID | ResearchGate | Google Scholar


Engineering Impact & Scale

Metric Scale Description
Students Trained 800+ University-level AI/ML under MeitY FutureSkills Prime
Govt. Officials Trained 400+ e-Governance capacity building under Digital India
Live AI Systems 12+ Production deployments on Hugging Face, Streamlit, PythonAnywhere
Research Papers 5 Peer-reviewed publications (Springer + IJDT)
GitHub Projects 150+ Open-source AI/ML tools and applications
Hackathon Performance Top 3 / 1,552 Paranox 2.0 National Hackathon โ€” 2nd Runner Up
Institutions Served 19+ Govt. Polytechnic Colleges under DTE Punjab

Professional Journey

๐Ÿ›๏ธ Project Engineer (AI/ML)

NIELIT Ropar (Deemed to be University) | Dec 2024 โ€” Present

  • Architect and deploy AI-powered systems for national e-Governance initiatives
  • Design production ML pipelines: data ingestion โ†’ training โ†’ deployment โ†’ monitoring
  • Build and maintain REST APIs for model serving at institutional scale
  • Research collaboration with senior scientists on cutting-edge AI applications
  • Full lifecycle ownership of AI projects from conception to production deployment

๐Ÿ’ป Software Developer

Smiling Walls, Chandigarh | Nov 2023 โ€” Aug 2024

  • Engineered automated Python data pipelines improving operational efficiency by 40%
  • Developed and tested edge AI solutions on NVIDIA Jetson Nano and Orin platforms
  • Built analytics dashboards with real-time A3CB visualization and reporting
  • End-to-end feature development from requirements to deployment

๐ŸŽ“ AI/ML Engineer Intern

NIELIT Ropar, Punjab | Apr 2023 โ€” Oct 2023

  • Developed NLP, computer vision, and predictive analytics models
  • Integrated ML models into production web interfaces (Flask, Django, Streamlit, Gradio)
  • Contributed to AI capacity-building workshops aligned with Digital India goals

Education

Degree Institution University Year
B.Tech, Computer Science & Engineering Green Hills Engineering College HPTU 2020 โ€” 2023
Diploma, Computer Engineering Govt. Polytechnic Sundernagar HPTECH 2017 โ€” 2020

Certifications & Recognition

Certification Issuer Date
Smart India Hackathon 2025 โ€” Evaluator Govt. of India & AICTE Dec 2025
Paranox 2.0 National Hackathon โ€” 2nd Runner Up (1,552 teams) TechXNinjas Nov 2025
Certificate of Competency: AI on Jetson Nano NVIDIA Nov 2025
Python Developer (~300 Hours) freeCodeCamp Feb 2026
Python Essentials 1 Cisco & OpenEDG Jan 2026
CyberShikshaa Fundamentals Microsoft & DSCI 2025

Content & Community

Platform Handle Focus
๐ŸŽฅ YouTube @lovnishverma AI Engineering deep-dives & tech content
โœ๏ธ Medium @lovnishverma AI/ML engineering blogs & tutorials
๐Ÿ’ผ LinkedIn lovnishverma Engineering updates & professional network
๐Ÿค— Hugging Face lovnishverma Model demos & ML Spaces
๐Ÿ“Š Kaggle lovnishverma Data science notebooks
๐ŸŒ Portfolio lovnishverma.in Projects, blog & research
โš”๏ธ LeetCode lovnishverma Algorithmic problem solving

GitHub Analytics


Let's Build Together



๐Ÿ”— Professional

Portfolio LinkedIn ORCID ResearchGate

๐Ÿ’ป Development

GitHub HuggingFace Kaggle Stack Overflow

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๐Ÿ“ง Email: princelv84@gmail.com ย |ย  ๐Ÿ“ž Phone: +91-8894869371 ย |ย  ๐Ÿ“ Chandigarh / Ropar, Punjab, India ๐Ÿ‡ฎ๐Ÿ‡ณ


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๐Ÿ”ญ Currently Engineering: Production RAG systems โ€ข Edge LLM deployment โ€ข Agentic AI workflows

๐Ÿ’ก Philosophy: Building frugal, high-impact AI systems that solve real problems at scale.

โญ Star my repositories if you find them useful โ€” it fuels the build!

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Lovnish Verma - Project Engineer ยท NATIONAL INSTITUTE OF ELECTRONICS & INFORMATION TECHNOLOGY (NIELIT)

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