Research, engineering & education.
I'm an undergraduate at IIIT Hyderabad pursuing a combined B.Tech and M.S. by Research in Computer Science and Engineering. Most of my recent focus is in the Video-Language Group at CVIT: multimodal models, video understanding, and turning research ideas into reproducible experiments.
I spent the summer of 2026 as a machine learning intern at Lloyds Technology Centre in Hyderabad, and before that shipped backend code part-time in a startup context — APIs, integrations, cloud. I use hackathons as a forcing function to go deep fast: on-device inference, geospatial ML under tiny labels, and agentic pipelines on GCP.
- →Hackathons: wins including on-device AI (Qualcomm Megathon), agentic data quality (Lloyds × GCP), and flood mapping from SAR (AISE Hack).
- →Projects: Med Veda (on-device MedGemma Android), cross-lingual QA pipeline, xv6 demand paging.
Timeline
Undergraduate Researcher, Video-Language Group
CVIT, IIIT Hyderabad
Multimodal learning, video understanding, and vision-language models with Prof. Makarand Tapaswi.
Machine Learning Intern
Lloyds Technology Centre
Summer internship in Hyderabad — applied machine learning.
Completion letter (PDF)Backend Developer (part-time)
Hustlr
API design, server-side logic, and cloud integration for an early-stage product.
B.Tech + M.S. by Research in CSE
IIIT Hyderabad
UGEE rank 77. Coursework and research across ML, systems, and vision.
Higher secondary
SAHITTII Junior College
95.4%
Secondary
Viswabharati High School
99.16%
Certificates
Finalist — Demo Category, SparQ 2026
Qualcomm India software team's flagship techfest.
Mastering OpenCV with Python
Google Cybersecurity Specialization
Google AI Essentials
Technical toolkit
- C
- C++
- Python
- JavaScript
- SQL
- PyTorch
- TensorFlow
- scikit-learn
- OpenCV
- MediaPipe
- Linux
- POSIX
- TCP/UDP
- Sockets
- Docker
- Git
- Redis
- React
- Next.js
- Node.js
- React Native
- Tailwind
- PostgreSQL
- Supabase
- GCP
- BigQuery