I am a person who loves applied research. I enjoy keeping up with new research breakthroughs and look for ways to incorporate them into solving day-to-day problems. That is one of the main reasons behind choosing AI and CSE as my career path. I hope to extend that same passion in your organization and grow along with you.
Work Experience
Hyderabad
JPMorgan Chase & Co.
Software Engineer II (Data Scientist II) | Full-time
Joined as a full-time employee on a new team producing traffic forecasts for consumer-facing products.
Contributed 14+ forecasting models in four months, owning model development and continuous deployment.
Played a key role in migrating the MLOps pipeline from an internal cloud to Databricks.
Transformed the model-integration workflow, reducing onboarding time by 90% by removing redundant deployment failures.
Led the company's venture into AI and created an AI-powered logo search handling 12M+ images, scaled through SageMaker inference endpoints.
Created the Mark Registrability Scorer, which predicts the likelihood of a new trademark application's registration and serves as the landing point for the flagship Trademarkia.ai website.
Worked on a legal chatbot based on RAG techniques; led and mentored AI interns on architecture, code, and MLOps decisions.
Owned and implemented cost-effective MLOps pipelines for multiple AI projects.
Built PyTorch implementations of popular AI models and created training, optimization, and deployment workflows for the company's AI-as-a-service platform.
Added 18+ models, from classification to segmentation, to the platform.
Helped develop the company's proprietary automated document-information extractor, used by a client for portfolio-statement analysis.
AI Intern
First step into enterprise-level AI.
Vellore, Tamil Nadu, India (Fully remote)
BG Enterprises Ltd.
Computer Vision Developer | Part-time
Created AI models that run on low-powered devices for:
FarmGuard: Animal intrusion prevention system for farmlands, which received local-government funding.
FaceMark: Face-recognition-based attendance and automated door-lock system.
Education
GPA: 8.56
B.Tech. in Computer Science
VIT University, Amaravati
Selected Projects
Personal project
FrontierScout
Automated Agentic Framework for Deep Learning Architecture Search
Architected an open-source, Optuna-inspired orchestration library that automates iterative deep-learning architecture and loss-function research through LLM-powered research agents.
Implemented an autonomous loop with rolling memory, automated code execution and retry harnesses, and multi-metric Pareto-frontier optimization.
Designed a modular tool-calling layer for live web research and engineered a typed, scalable Python package using uv and clear configuration specifications, preparing it for PyPI distribution.