Available for Innovation

Engineering the Future of Generative AI

I build production-grade LLM applications, RAG architectures, and scalable machine learning systems that turn complex data into actionable intelligence.

Featured Projects

A selection of my recent work in AI agents, clinical research automation, and backend engineering.

Clinical Trial Agent

Clinical Trial Agent

Advanced AI patient-to-trial matching system using Gemini and LangGraph. Developed to streamline clinical research recruitment.

LangChain Gemini
View Project
MobileLLM

MobileLLM 125M

Optimizing Large Language Models for resource-constrained mobile devices. Focus on architectural efficiency and quantization.

LLM PyTorch
View Project
Finance Risk Analysis

Finance Risk Analysis

GPU-accelerated financial risk modeling and Monte Carlo simulations for large-scale portfolio analysis.

CUDA Python
View Project
PCNN Shadow Removal

PCNN Shadow Removal

Pulse Coupled Neural Network implementation for advanced image processing and automated shadow detection and removal.

Computer Vision CNN
View Project
Anomaly Detection

Anomaly Detection

Robust anomaly detection framework for identifying patterns and outliers in complex datasets using machine learning.

ML Scikit-learn
View Project

Technical Toolkit

Expertise in modern AI, Cloud, and Engineering stacks.

AI & Machine Learning

Generative AI (LLMs)
LangChain / LangGraph
RAG Architectures
Deep Learning
NLP & CV

Cloud & Infrastructure

Amazon Web Services
Google Cloud Platform
Docker & K8s
Serverless (Lambda)
Vector DBs (Pinecone)

Languages & Frameworks

Python (FastAPI, PyTorch)
JavaScript / Node.js
SQL / NoSQL
Git & CI/CD
Tableau / PowerBI

Professional Journey

Building impactful AI solutions at the intersection of technology and healthcare.

MAY 2024 - PRESENT

Generative AI / ML Engineer

Caris Life Sciences

Leading the development of medical chatbot systems and AI-driven clinical workflow optimizations.

MAR 2022 - AUG 2023

Data & ML Engineer

Profound Infotech

Designed and deployed Python ETL pipelines and machine learning models for enterprise data validation.

Education

Academic foundation in Computer Engineering and Science.

Master of Science

Computer Engineering

Florida Institute of Technology, Melbourne, FL, USA

Bachelor of Engineering

Computer Science Engineering

Teegala Krishna Reddy Engineering College

Certifications

Professional credentials and continuous learning.

AWS Certified Developer

Associate (Verification ID: AWS-ASA-XXXX)

Intro to LLMs

Google Cloud Skills Boost

Supervised ML

IBM (Regression Analysis)

Intro to Generative AI

Google Cloud Platform

Ready to build something amazing?

I'm always open to discussing new AI projects, creative collaborations, or opportunities to innovate.