Hey, I'm Lenin Jacob Regi
I'M AN AI ENGINEER DEDICATED TO BUILDING THE FUTURE, ONE ALGORITHM AT A TIME.
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I am Lenin Jacob Regi, an AI/ML Engineer, LLM & RAG Specialist, and Full-Stack AI Developer pursuing B.Tech in Computer Science & Engineering (AI/ML) at Karunya Institute of Technology and Sciences, Coimbatore (2023–2027). I have independently built 30+ production AI systems spanning LLMs, RAG pipelines, multi-agent architectures, computer vision, and full-stack applications.
I architect hybrid RAG systems with multi-DB backends (Milvus, pgvector, Neo4j, Elasticsearch), integrate 100+ LLMs via LiteLLM, and optimize inference for 70B+ models on 4GB GPU via layer-wise loading. I also build multi-agent LangGraph systems with real-time full-stack apps using React/Next.js, FastAPI, and Docker.
As Gen-AI Head at Karunya Innovation & Design Studio (KIDS), I lead LLM/SLM research, agentic AI workshops, and hackathon mentorship for 100+ students. I built Karunya-SLM from scratch using GPT-2 architecture, custom BPE tokenizer, and PyTorch training.
DOWNLOAD RESUMEKarunya Institute of Technology and Sciences, Coimbatore
CGPA: 6.0
2023–2027
State Board
Percentage: 100%
2023
State Board
Percentage: 74%
2021
30+ production AI systems: LLMs, RAG pipelines, multi-agent architectures, computer vision, full-stack apps
Leading LLM/SLM research, agentic AI workshops, and hackathon teams for 100+ students
Leveraging expertise in AI/ML/DL, I offer services in intelligent system development, web solutions, and cybersecurity.
Building intelligent systems and models using cutting-edge Artificial Intelligence, Machine Learning, and Deep Learning techniques.
Crafting visually appealing and user-friendly web applications with robust backend solutions.
Implementing secure practices and developing solutions to protect digital assets and information.
Exploring and applying cryptographic principles for data privacy and secure communication.
RAG • LangGraph • LiteLLM • FastAPI • Next.js
20+ source integrations (Notion, Slack, GitHub, YouTube); Deep Agent with 11 tools, 6000+ embedding models, RBAC. 2-tier hierarchical RAG with RRF, Pinecone/Cohere rerankers, podcast generation in <20 sec.
Stack: FastAPI, Next.js, TypeScript, PostgreSQL+pgvector, LangChain, LangGraph, LiteLLM, Redis, Celery, Docker
Security • SAST/DAST • LLM Code Review • Docker
Pre-deployment security platform: SAST (Semgrep, CodeQL) + DAST + LLM code review in zero-trust Kata Containers. CVSS-scored prioritization, automated multi-candidate fix generation, human-in-the-loop approval UI with risk heatmaps.
Stack: Python, Mistral 7B, CodeLlama 13B, Semgrep, CodeQL, Flask, React, Docker
Three.js • LangGraph RAG • Manim • FastAPI
Three.js 3D museum + LangGraph RAG tutor: 11 tools, 5 sub-agents, 6-step Socratic scaffolding, 10 subject domains. 50+ API endpoints, short/long-term memory, Manim animations, multi-LLM with VRAM-based model selection.
Stack: React 18, Three.js, FastAPI, PostgreSQL+pgvector, LangGraph, LiteLLM, Manim, Docker
Whisper • Milvus • Ollama • deepseek-r1
Video pipeline: yt-dlp → Whisper → chapter-aware chunking → Milvus IVF_FLAT → deepseek-r1 Q&A. LLM-generated fallback chapters; 4096-char chunk storage with etcd/MinIO Milvus stack.
Stack: Python, Whisper, yt-dlp, FFmpeg, Pydub, Milvus, Ollama (mxbai-embed-large, deepseek-r1), Docker
llama.cpp • Manim • Piper TTS • FFmpeg • CUDA
LLM script → Manim animation → Piper TTS narration → FFmpeg compositing; zero cloud, full GPU acceleration. Generates 1080p 2–5 min videos in 2–5 min; CLI batch mode, multiple voice personas, cinematic Manim templates.
Stack: Python, llama.cpp (Llama 3.2 3B), Manim, Piper TTS, FFmpeg, Gradio, CUDA
Node.js • Socket.IO • React • MongoDB • Cloudinary
Trip planning, smart expense splitting, memory wall (Cloudinary CDN), real-time group chat via WebSockets. Railway + MongoDB Atlas deploy; Helmet, rate limiting (100 req/15 min), settlement optimization.
Stack: Node.js, Express, MongoDB, Socket.IO, React, TailwindCSS, Cloudinary, Passport.js (OAuth 2.0), Chart.js
Karunya Innovation & Design Studio (KIDS)
AI workshops, LLM research, hackathon mentorship
K-Hacks Hackathon Club, KITS
Inter-college hackathons and technical events
PGR-SR: Physics-Guided Residual Super-Resolution for Thermal IR Imagery — RMSE: 0.088K, PSNR: 41.44dB, SSIM top-tier
100% defect detection rate (40/40) using Laws' Texture Filters; 9-class plant pest detector with MobileNetV2
SurfSense & Scoratis: active community, Discord channels, external contributors; 30+ public AI repositories
DeepLearning.AI
DeepLearning.AI
DeepLearning.AI
DeepLearning.AI
Cisco / PCAP
Coursera
Coursera
Cisco / CLA
Feel free to reach out if you have any questions, collaboration opportunities, or just want to connect!
Phone: +91-8891201402