AI/ML Engineer & Forward Deployed Engineer (FDE) delivering production-grade agentic AI applications and ML pipelines directly to client environments. I bridge the gap between complex AI architecture (LangGraph, BERT, PyTorch) and client-facing deployment (Docker, FastAPI), shipping secure, scalable microservices that stakeholders can actually use.
$ cat .profile
ROLE = AI/ML Engineer | Forward Deployed Engineer (FDE)
EXP = BCA Graduate (AI & DS) | Former AI/ML Trainee
DOMAIN = Generative AI | Agentic Workflows | MLOps
STACK = Python | LangGraph | CrewAI | FastAPI | Docker
AI_INFRA = FAISS | Mistral/OpenAI | MongoDB | Redis
LOCATION = India
OPEN_TO = AI/ML Engineer Roles + Forward Deployed Positions[ Languages ]
[ AI / ML & GenAI ]
[ Backend, DB & Infra ]
[ Cloud & DevOps ]
| Domain | Details |
|---|---|
| Agentic AI | LangGraph, CrewAI, Multi-Agent Systems, ReAct Framework |
| RAG & Enrichment | LangChain, FAISS, Snov.io API, Dynamic Query Routing |
| LLM Integration | Mistral AI, OpenAI, Google Gemini, NVIDIA NIM, Ollama |
| Deployment (FDE) | Docker, FastAPI, Render, Vercel, WebSocket Telemetry |
| Machine Learning | Scikit-learn, PyTorch, BERT, Hugging Face |
| AppSec | JWT RBAC, Prompt Injection Guardrails, Secret Scanning |
▶ OMNICREW AI — Autonomous Web Extraction & Enrichment Platform
An enterprise-grade, full-stack Agentic AI platform where a multi-agent crew (Researcher, Analyst) autonomously scrapes web data, structures it, and enriches it using third-party APIs. Built with a resilient backend architecture and real-time observability.
| Aspect | Detail |
|---|---|
| Stack | Python · CrewAI · FastAPI · React/TS · Docker · Redis |
| AI & Enrichment | 3-Tier LLM routing (Mistral→OpenAI), Snov.io API for B2B email enrichment |
| Backend | MySQL (Aiven) for leads, Upstash Redis for zero-cost caching, JWT user data isolation |
| Frontend | Next.js 16 with GSAP/Lenis smooth scrolling, live WebSocket telemetry feeds |
| Deployment | Frontend on Vercel, Backend on Render, containerized via Docker |
| Repo | View on GitHub |
▶ LumanGuide — Enterprise Agentic RAG System & Team Navigator
An enterprise-grade, intelligent Retrieval-Augmented Generation (RAG) system powered by a LangGraph state machine. Features a premium split-screen SaaS UI, live agent telemetry, and robust AppSec measures for secure client deployment.
| Aspect | Detail |
|---|---|
| Stack | Python · LangGraph · FAISS · MongoDB Atlas · Streamlit |
| AI Architecture | Dynamic 3-Tier LLM Router (Mistral/OpenAI/Gemini), Tavily web search integration |
| UI/UX | Premium dark emerald theme, Space Grotesk typography, rotating telemetry terminal |
| Backend | FastAPI, MongoDB Atlas (Motor) for persistent chat history & auth |
| Security | JWT RBAC, Prompt Injection Guardrails, automated Secret Scanning |
| Repo | View on GitHub |
[Feb - May 2026] AI/ML Trainee — Technosavvys Education Technology
Engineered and optimized Retrieval-Augmented Generation (RAG) pipelines using LangChain and FAISS.
- Developed high-performance REST APIs using FastAPI to serve machine learning models.
- Integrated multiple LLM providers (OpenAI, Claude) into agentic workflows.
- Built interactive and responsive user interfaces using Streamlit.
- Implemented async database operations using MongoDB/Motor for non-blocking performance.
Python LangChain FastAPI MongoDB Streamlit FAISS GenAI
| Win | Detail |
|---|---|
| ▌ Project Launch | Successfully deployed OMNICREW AI & LumanGuide to production (Render/Vercel) |
| ▌ Certification | Completed "Building LLM Applications" from the NVIDIA Deep Learning Institute |
| ▌ Academic | Graduated with a BCA in AI & Data Science |
learning:
- Agentic AI architectures & multi-agent orchestration
- LLM Fine-tuning & RAG Optimization
building:
- OMNICREW AI # Autonomous Web RPA & Snov.io Email Enrichment
- LumanGuide # Enterprise RAG with LangGraph & MongoDB Atlas
exploring:
- Real-time voice AI & low-latency LLM pipelines
- NVIDIA NIM Microservices
open_to:
- AI/ML Engineer Roles
- Forward Deployed Engineer (FDE) Positions
- Collaborations on Agentic AI Pipelines
