I’m an AI Engineer with hands-on experience building agentic AI systems, multimodal LLM applications, and backend data workflows.
- 💼 Currently at HCLTech, working on a Deutsche Bank project supporting large-scale financial systems
- 🤖 Strong focus on Agentic AI, GenAI, RAG, and LLM tool orchestration
- 🧠 I enjoy building end-to-end AI systems, not just models — from data pipelines to production-ready AI services
- 🎯 Actively seeking AI Engineer / Applied GenAI roles at product-based companies
A multi-agent AI system for financial intelligence using LLaMA-3 (70B) on Groq with autonomous tool selection.
Key Highlights
- Role-based agents for finance analysis and web research
- Tool calling with Yahoo Finance and DuckDuckGo
- Structured, source-backed insights using markdown tables
- FastAPI-based playground for experimentation and testing
Tech Stack:
Python · Agentic AI · PhiData · LLaMA-3 · Groq · Tool Calling · FastAPI
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A multimodal AI application that analyzes video content and augments insights using real-time web search.
Key Highlights
- Gemini-powered video understanding and reasoning
- Query-driven video analysis
- Streamlit-based interactive UI
- Designed for production-style AI workflows
Tech Stack:
Python · Gemini 2.5 Flash · Multimodal LLMs · Streamlit · Agentic AI
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AI-powered assistant to support chemical research and analysis, accelerating scientific workflows using LLM-based reasoning.
Tech Stack:
Python · GenAI · Gemini · Prompt Engineering
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Programming & Backend
Python, SQL, PL/SQL, Unix Shell Scripting, FastAPI, Flask
GenAI & Agentic AI
LLMs, NLP, RAG, Agentic AI, LangGraph, MCP, Prompt Engineering
Machine Learning
scikit-learn, PyTorch, TensorFlow
Data & Analytics
Pandas, NumPy, Statistics, Exploratory Data Analysis (EDA), Feature Engineering
Tools & Platforms
Docker, Git, GitHub, Streamlit, MySQL, Vector Databases (pgvector)
Cloud
AWS (Cloud Foundations)
- LLM evaluation for RAG and agentic workflows
- Multi-agent reliability and failure handling
- Designing scalable, low-latency GenAI systems
- 📧 Email: agarwaljatin5716@gmail.com
- 🔗 LinkedIn: linkedin.com/in/jatinagarwal03
⭐ If you’re interested in applied AI, agentic systems, or GenAI engineering — feel free to explore my repositories or reach out.