I'm a CS grad student and developer at the intersection of AI systems, full-stack engineering, and computer vision research. I build things that ship — from AI-native research platforms used across national laboratories to startup products in cloud infrastructure and pharma tech.
- 🎓 MS Computer Science @ Texas A&M (May 2026) — Research: ML-Powered Computer Vision for Human Modeling & 3D Reconstruction
- 🧪 Researcher on multi-person trajectory reconstruction from monocular video and 3D scene understanding
- 💻 Primary developer of DataScribe.Cloud — adopted by researchers at multiple universities and national labs
- 🏗️ Co-Founder of Vihayas (multi-cloud IaC platform) and PharmFindr (pharma CDMO discovery)
Languages
AI / ML
Backend & DevOps
Frontend & Mobile
Databases & Cloud
Student Software Intern — Texas A&M University (Feb 2024 – Present)
Primary developer of DataScribe.Cloud, an AI-native data management platform adopted by researchers across multiple universities and national labs. Built Agentic AI components, scalable microservices architecture, and containerized CI/CD pipelines with Docker & Kubernetes.
Software Engineering Intern — Exabeam Inc. (May–Aug 2023)
Built Prometheus/Grafana observability solutions, developed a Spring Boot REST API for cost analysis, and conducted security audits identifying and remediating CVEs across GitHub repositories.
Teaching Assistant — Texas A&M University (Spring 2024 – Present)
TA for C++, Quantum Computing, and Programming Languages. Created automated Bash testing/grading scripts; led lab sessions and office hours.
| Project | Description | Stack |
|---|---|---|
| Vihayas | Multi-cloud IaC platform with unified JSON-like syntax for AWS/GCP/Azure. AI-powered Kubernetes management with VPA/HPA & cost optimization. | Go, React, Kubernetes, AI |
| PharmFindr | Pharma CDMO discovery platform centralizing FDA 483 data, cGMP compliance records, and verified peer reviews. | Go-Chi, PostgreSQL, MongoDB, Redis |
| Ipelint MVP 2 | AI/NLP models for patent prosecution analysis — keyword extraction, topic modeling, computer vision for diagram analysis. | Python, TensorFlow, PyTorch, NLTK, AWS Bedrock |
| 3D Reconstruction via DRL | Deep Reinforcement Learning (DQN) for optimal camera view selection in multi-view 3D reconstruction, using COLMAP. | Python, OpenAI Gym, COLMAP |
| DataScribe.Cloud | AI-native research data management platform with knowledge graphs, FAIR-compliant metadata, and Bayesian optimization workflows. | Node.js, Docker, Kubernetes, Agentic AI |
DataScribe: An AI-Native, Policy-Aligned Web Platform for Multi-Objective Materials Design and Discovery Digital Discovery, 2026 — AI-native cloud platform unifying experimental/computational data through knowledge graphs and closed-loop materials discovery.
TRAM-MP: Multi-Person Trajectory and Motion Reconstruction from Videos in the Wild ArXiv Preprint, 2025 — Feed-forward method for reconstructing global trajectories and body motions of multiple people from monocular video.
Efficient Parallelization of Point Cloud Registration: A Study of Spatial Indexing and Multi-Resolution Approaches ArXiv Preprint, 2025 — Significant ICP speedup via CPU parallelization, multi-resolution refinement, and spatial indexing without specialized hardware.
