I build AI systems end to end: agents, retrieval, ranking models and the infrastructure under them. Then I measure them against held-out data until they break, and I publish what didn’t work alongside what did.
That habit shows up everywhere: preregistered predictions in my quantum-ML research, a negative result published for my 3D-reconstruction platform, and upstream bug fixes in PyTorch, pandas and mem0 that started as “this number looks wrong.”
Education
B.Tech, Computer Science EngineeringGeethanjali College of Engineering and Technology, Hyderabad, 2023 – 2027
Data Structures & Algorithms · Operating Systems · Database Management Systems · Computer Networks · Object-Oriented Programming · Discrete Mathematics · Software Engineering · Theory of Computation · Computer Architecture · Linear Algebra & Probability
Aug – Oct 2026
Applied AI Engineer Intern
RamanIQ, AI startup
- Built REFEREE, an autonomous research-review product combining multi-agent orchestration and deterministic pipelines for paper analysis, experiment execution and evidence-backed verdicts; achieved ~87% accuracy on evals and tests.
- Screened 36K+ research papers across top venues (NeurIPS, ICML, ICLR, CVPR, ACL) and curated 380+ compute-feasible reproduction candidates by evaluating code and dataset availability, benchmarking selected findings against Hugging Face reproduction reports.
- Contributed 19+ pull requests across Polymath and Orbicular, delivering data connectors, UI improvements and backend features in collaboration with the engineering team.
Jun – Jul 2026
Tech Engineer, AI and Backend
Hecta Proptech
- Built the preprocessing and feature pipeline behind a production REST API over 175K+ auction notices: CatBoost with GPU embeddings, 84.3% ROC-AUC, 80% less manual review.
- Shipped features to production serving 5K+ users per day.
- Trained a CatBoost Cox survival model (0.79 C-index) and deployed it behind a validated Flask inference API.
- Architected the initial hybrid RAG retrieval platform; co-built an AI scraping system that cut manual data collection ~80%.
Jan – Apr 2026
Full Stack Engineering Intern
chkchk
- Sole full-stack engineer, reporting to the CTO, taking a creative-talent marketplace from concept to a deployment-ready platform.
- ~50% fewer database calls and ~30% lower latency from restructured request pipelines and query execution.
- Supabase Realtime and Row Level Security on every table; shipped the Android app (Capacitor 8) and led the Panzee → chkchk rebrand.
- Authored 66 of 74 commits in the product repo.
Aug – Oct 2025
AI & Frontend Development Intern
Edunet Foundation
- Built a lecture audio-to-notes generator (Whisper + T5 + DistilBART) for 60+ minute lectures.
- ~80% faster inference through GPU-accelerated Whisper with caching, measured before and after.
Mar – Jun 2025
Web Development & SEO Intern
Badakarobar
- Improved Lighthouse performance scores by ~45% on responsive landing pages; automated sitemap generation with Python.