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VanshGupta18/README.md

Vansh Gupta

AI Engineer · Production-Grade Intelligent Systems

Building intelligent systems that move from notebook to production — RAG pipelines, LLM agents, financial analytics, and NLP applications.

About Me

I'm an AI Engineer focused on building reliable, production-grade systems that turn large language models into practical tools. My work spans the full lifecycle — from designing retrieval pipelines and agentic workflows to deploying full-stack APIs and building domain-specific NLP applications.

Right now I'm deep in Forsyt — a geopolitical risk modeling system — and earnings call intelligence, building multimodal pipelines that extract market signals from corporate disclosures. I'm also actively exploring domain-specific LLM fine-tuning for finance and legal.

Tech Stack

Languages

Python

AI & ML

PyTorch TensorFlow LangChain Groq scikit-learn Pandas NumPy Jupyter

Speech & NLP

wav2vec2 WhisperX openSMILE Sentence Transformers

Deployment

Docker FastAPI WebSockets HuggingFace Spaces

🏆 Hackathon Recognition

Award Event Organizer Year
Finalist Meta PyTorch OpenEnv Hackathon SST, Bangalore 2026
Innovation Award Agentic AI Hackathon Ulster University, UK 2025

Areas of Focus

🔬 Currently building

  • Forsyt — geopolitical risk modeling using LLMs and structured data
  • Earning Calls Intelligence — pressure-aware multimodal pipeline (text + audio + interaction)

🌱 Actively exploring

  • Domain-specific LLM fine-tuning (SFT + GRPO) for finance and legal
  • Agentic AI patterns: planning, memory, multi-turn tool use

Get In Touch

I'm open to collaborations on AI engineering projects, especially in financial analytics, agentic systems, or applied NLP.

Building systems that think — one pipeline at a time.

Pinned Loading

  1. Forsyt Forsyt Public

    Forsyt is an AI-powered, real-time geopolitical risk intelligence platform built specifically for Indian financial markets. It transforms global and regional news into the localized "India AI-GPR I…

    1

  2. corporate-compliance-env corporate-compliance-env Public

    The first open-source RL training environment for corporate compliance — train agents to audit expense claims against a policy rulebook across 3 difficulty levels. Built for the Meta PyTorch OpenEn…

    Python

  3. earning-calls earning-calls Public

    Pressure-aware earnings call intelligence system — models text–audio divergence, Q&A interaction dynamics, and managerial behavior under analyst pressure to predict returns, volatility, and risk si…

    Python 1

  4. ECG-Multi-Label-Classification ECG-Multi-Label-Classification Public

    Graph Neural Network (GNN) approach for multi-label classification of clinical ECG data using PyTorch Geometric, NeuroKit2, and the PTB-XL dataset.

    Jupyter Notebook

  5. Gina_cfp Gina_cfp Public

    Chat with your data. GINA turns plain-English questions into grounded answers by running real SQL on your dataset — not guessing from model weights. Built with Next.js, Fastify, Groq, and pgvector.

    TypeScript 1