Software Engineer · ML Enthusiast
I build things
that think.
I am a final-year CS student who specializes in bridging the gap between theoretical ML models and real-world latency constraints. I build architectures that scale perfectly on the edge.
About
A bit about me.
I enjoy exploring the intersection of design and engineering, creating experiences that feel alive and intuitive. When I'm not coding, you'll find me exploring new technologies, reading about systems design, or embarking on outdoor adventures.
I am a final-year CS student who specializes in bridging the gap between theoretical ML models and real-world latency constraints. I build architectures that scale perfectly on the edge.
Languages
Interests
Skills & Expertise
What I work with.
Experience
Where I've worked.
Geosentry.AI
CurrentAI Intern
May 2026 — Present
Building core personalized voice companion architecture, custom connectors, and memory graphs.
reAlpha
SWE Intern
Sep 2025 — Mar 2026
Built infrastructure for real-time voice AI with WebRTC, achieving sub-200ms TTFT across production workloads.
University of Nevada, Las Vegas
Research Intern
Jun 2025 — Aug 2025
Developed ML systems achieving 0.89 micro F1 for protein function prediction and 0.879 accuracy for compliance risk scoring.
Vedic Sadhana Foundation
Software Intern
Oct 2024 — Dec 2024
Built production-grade scraping and NLP pipelines processing 50,000+ entries with automated data cleaning and API endpoints.
Research
Publications & Papers.
SafeStreets: Deep Learning-Based Real-Time Traffic Violation Detection System
Proposed an AI-driven edge surveillance architecture that automates traffic violation detection (including helmet rule compliance and automatic license plate recognition). Deployed directly onto latency-constrained edge hardware with highly optimized neural pipelines.
Neural Art Style Transfer
Explored real-time style harmonization utilizing deep convolutional networks (VGG-19) to align artistic styles with camera input. Optimizes feed-forward neural layers to maintain high temporal consistency and prevent frame flickering in live video feeds.
Projects
Things I've built.
SafeStreets
Real-time traffic violation detection through deep learning models deployed at edge devices. 98.7% accuracy, <100ms inference.
Voice Budget App
Real-time voice-controlled budget tracking with WebRTC speech pipelines and automated categorization.
Protein Function Predictor
Sequence-to-function deep learning model using PyTorch with ESM-2 embeddings, achieving research-grade prediction accuracy.
Compliance Risk Scoring
Explainable NLP pipeline that extracts risk factors and generates human-readable rationales alongside risk scores.
Contact
Let's work together.
I'm always open to new opportunities, collaborations, and interesting conversations. Whether you have a project in mind or just want to say hi — my inbox is open.
Say Hello