About

AI Engineer driven by optimizing end-to-end intelligent systems. Focused on building production-grade autonomous workflows that fuse NLP, Large Language Models (LLM), Retrieval-Augmented Generation (RAG) systems, and agentic AI innovation with computational efficiency to solve high-impact problems at scale.

Experience2

  1. AI/ML Engineer

    May 2026 — Present

    Sopra Steria

    Built Enterprise SAP OData Gateway using FastAPI and LangGraph, reducing data retrieval time from hours to sub-5 seconds. Developed an Ephemeral Air-Gapped Python Sandbox with Docker for automated SAP data extraction, cutting enterprise reporting latency by 90%. Deployed Next.js 15 conversational interfaces with real-time SSE streaming, reducing LLM token consumption by 85%.

  2. Prompt Engineer & Data Analyst

    Apr 2025 — Aug 2025

    Humana People to People India

    Engineered Python validation pipelines and automated schema checks, reducing QA time from 4 days to 2 hours. Applied LLM prompt engineering to automate data cleaning and built a geographic code-matching utility for 87% faster reconciliation. Developed Power BI dashboards translating complex data pipelines into actionable insights for stakeholders.

Projects4

  • TechHubAI

    Built a multi-agent debate system using FastAPI and Next.js, featuring 4 different persona agents debating tech trade-offs and a judge synthesizing verdicts. Achieved 95% token reduction via research pre-summarization and sliding-window compression, with the system live on Vercel.

    • FastAPI
    • Next.js
    • AgentScope
  • Career-Orbit

    Developed 6 AI agents using AgentScope and Python that crawl LinkedIn and Wellfound, scoring CV-fit and drafting recruiter emails. Integrated SurrealDB Graph RAG for local-first tracking, with human-in-the-loop form filling via Playwright.

    • AgentScope
    • Python
    • Playwright
  • TalentAI

    Created an AI recruitment platform using Python and Flask with Gemini Pro & Groq Llama 3.1 for PDF resume parsing and scoring. Implemented weighted ranking for skills, experience, and academics, along with full CRUD HR workflows and applicant tracking.

    • Python
    • Flask
  • AI News Analyzer

    Developed a multi-model NLP toolkit for fake news, hate speech, and news category classification, deployed as a live Streamlit app. Achieved 89% accuracy for fake news classification and 80% for hate speech detection.

    • Streamlit

Education1

  • B.Tech

    2023 — 2027

    Sushant University

    Computer Science