Hi, I'm
Jayanth Tatineni.

Computer Science graduate engineering artificial intelligence systems, machine learning pipelines, and robust backend infrastructure.

Contact Me LinkedIn GitHub
Visakhapatnam, India +91 8374212655

Objective

Driven by first-principles reasoning and a creative problem-solving mindset to architect scalable, explainable AI solutions for complex enterprise challenges. I bridge the gap between theoretical machine learning and practical, robust backend engineering.

Experience

Project Associate

June 2026 - Present

IIT Madras, Chennai, India | RAG-based NPTEL Chatbot

  • Architecting a RAG pipeline combining parent-child chunking, hybrid retrieval (Milvus, BM25, BGE-M3), and quantized LLMs (AWQ Qwen 2.5) for low-latency, deterministic generation.
  • Enforcing system reliability through guided JSON outputs, RAGAS framework evaluation, and rigorous stress testing under concurrent user loads.

AI/ML Intern

Dec 2025 - May 2026

SenzR Technologies, IITM Research Park | Remote

  • Refined biosignal data pipelines for robustness and managed end-to-end data calibration and preprocessing.
  • Developed an inference API and collaborated on ML model fine-tuning to improve predictive performance.

SDE Intern

Nov 2024 - May 2025

FOSSEE, IIT Bombay | eSim (Open-Source EDA Tool) | Remote

  • Contributed to the official release of eSim 2.5 (5,000+ academic users) by upgrading installers and improving cross-platform compatibility.
  • Built Docker containers and optimized Ubuntu/Windows installers, reducing installation errors by 40% and setup time by 30%.

Projects

Bone Cancer Segmentation using Deep Learning

Capstone Project

Engineered a 2.5D architecture (U-Net++) in PyTorch/MONAI, using slice-stacking to preserve 3D context. Built a Streamlit clinical web app for local decision support, featuring lesion overlays and generating reports.

PyTorch MONAI Streamlit

Agentless Windows Vulnerability Assessment Tool

Smart India Hackathon 2024

Built a Python-based executable to extract Windows system & network details for vulnerability analysis. Designed for portability (no pre-installed modules) and AV/EDR-friendly execution.

Python Security Analytics Windows Internals

AI Venture Scoring Engine

Agentic RAG

Engineered a hybrid evaluation pipeline (FastAPI, React, Gemini API) integrating Tavily Search for real-time startup and market intelligence, with LLM-driven signal extraction and deterministic Python scoring. Implemented Pydantic extraction, solving LLM truncation and ensuring auditable, structured outputs.

FastAPI React Gemini API LangChain/RAG

Technical Expertise

Languages & Databases

Python Java C SQL Bash

AI & Machine Learning

PyTorch TensorFlow Scikit-Learn LLMs / RAG LangChain LangGraph

Frameworks & Dev

React Flutter FastAPI Streamlit REST APIs Docker Git

Security & Tools

Linux Nmap Wireshark Burp Suite Metasploit

Education

GITAM University

BTech, Computer Science Engineering (Cyber Security)

Visakhapatnam CGPA: 8.41 | Exp. 2026

RMK Residential Senior Secondary School

12th Grade

Chennai 90.2% | 2022

Achievements

  • Dec 2025
    Certified Ethical Hacker (CEH v13) - EC-Council
  • Nov 2025
    KPMG Capture The Flag (CTF) 2025 - Shortlisted Finalist
  • Jul 2025
    National FOSSEE Awards 2025 - Emerging Talent in Open Source, IIT Bombay