YESHWANTH S

currently

CS Student @ PSGCT exploring applied AI, databases, and backend systems.

spending time building in & shipping projects, and pulling up to .

experience

Research Intern

May 2026 – Jun 2026

IIT Madras, WSAI• Graph Neural Networks • Combinatorial Optimization • VRPTW

Conducted research on accelerating Vehicle Routing Problems with Time Windows (VRPTW) using Graph Neural Networks within a Column Generation framework.

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>Studied and evaluated a Bipartite Graph Neural Network for route selection within a VRPTW Column Generation framework.
>Performed extensive calibration experiments using threshold tuning and class-weight optimization, significantly improving Balanced Accuracy and True Negative Rate.
>Integrated Weights & Biases Bayesian Sweeps to optimize hyperparameters and positive class weighting.
>Designed and evaluated a CTGAN-based synthetic route generation pipeline.
>Conducted comprehensive ablation studies to analyze the contributions of graph topology, message passing, and route-level features.
>Implemented and evaluated SPPRC optimizations, including 2-cycle elimination.
>Integrated the optimized GNN into the Column Generation pipeline and benchmarked computational efficiency.

PythonPyTorchGraph Neural NetworksVRPTWGurobiCTGANWeights & Biases

Undergraduate Student

2023 – Present

PSG College of Technology

Studying Computer Science and Artificial Intelligence and Machine Learning.

Core Team Member

June 2024 – May 2026

THE EYE (Cybersecurity & AI Society)

Built and shipped backend and interactive tools for events, workshops, and community projects.

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>Co-developed a backend CTF portal with authentication, a WebSocket scoreboard, challenge unlocking, and admin tooling that scaled to 300+ players.
>Built TranscribeX, a workshop-deployed web app for video transcription, subtitle generation, and AI summarization workflows.

PythonFlaskMongoDBWebSocketsGenerative AIDocker

HSE - 98.5%

Higher Secondary

Bharathiyar Matric Hr. Sec. School

Completed higher secondary education with 98.5%.

projects / experiments

[ 10 PROJECTS ]

Vigilens/ Python, FastAPI, Gemini API

Real-time video intelligence for always-on RTSP streams with fast screening, Gemini verification, durable SQLite memory, and searchable query history.

Active

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Terminus/ Python, CLI Automation, LLM Integration

An intelligent, CLI-first automation tool that enables natural language control over files, development workflows, and personal productivity directly from the terminal.

Active

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my-dict/ Python, SQLite, Tauri

Offline-first personal dictionary and lexical memory system with smart search, typo correction, and adaptive learning, built as a native desktop app.

Desktop MVP

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NEPTUNE.ai/ FastAPI, Gemini API, TimescaleDB

AI-powered mental health support system combining conversational agents, multimodal journaling, and clinical-grade assessments with graph-based memory and behavioral pattern analysis.

Prototype

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tech stack

Im a generalist at heart who can build with anything, but here's the core stack I've spent the most time with:

recent blogs[ 01 POSTS ]

vigiLens - Always-On Video Intelligence

June 2026

A deep dive into building vigiLens: real-time screening, Gemini-powered verification, SQLite event memory, and natural language query retrieval for RTSP streams.

contact

yeshw537@gmail.com