সৌরদ্যুতি বিশ্বাস সান্যাল Sourodyuti Biswas Sanyal

Technical co-founder

My startup. A smart dog collar that maps a dog's sounds and movement to behaviour: coughing, scratching, barking, changes in sleep and activity. The collar's microphone and motion sensor stream to the paired phone, which does the processing. It is a health collar, not a GPS tracker. I own the whole stack: ESP8266 and ESP32-S3 firmware, a TinyML bio-acoustic engine under 200 KB, the Flutter app and the Cloudflare backend. Selected for the Atal Incubation Centre. Co-founded with Aritra Biswas and Krishnendu Dhar.

• ESP32
• TinyML
• Flutter
• React
• Cloudflare Workers

Co-builder, team of four

Contactless vital signs: look into a phone camera for 30 seconds and get heart rate, SpO₂, respiration, HRV and stress, with no wearable and no internet permission. CameraX exposure and white-balance lock, 478-point MediaPipe face regions, and a POS/CHROM, Butterworth and adaptive Kalman DSP core running on Android through Chaquopy. 1.64 BPM mean absolute error on UBFC-rPPG, and on-device PDF reports in under 100 ms.

• rPPG
• MediaPipe
• CameraX
• Kotlin
• Chaquopy

Sole architect

India lost ₹22,495 crore to cyber fraud in 2025, and AI voice cloning is the fastest-growing weapon. VaaniKavach is an on-device sentinel that listens to live calls, detects synthetic voices with a distilled anti-spoofing model, flags scam pressure (urgency, fear, authority) in Bengali and Hindi, and warns before money moves. Every flag becomes a hash-chained evidence pack designed to stand up in court.

• AASIST to TFLite
• Kotlin
• Whisper
• SHA-256 evidence chain

Curawave LLP, for Cardiosense AI

Client work through my company, Curawave LLP: embedded firmware, on-device ECG signal analysis and an Android app for Cardiosense AI's portable cardiac-screening research prototype, delivered under formal change control.

• Embedded firmware
• ECG analysis
• Android

Researcher

The research programme behind my IEEE SPACE paper: progressive teacher, assistant and student distillation that squeezes ResNet and ViT-scale models into small deployable students with accuracy nearly intact. Tested on CIFAR-10, MedMNIST and a 6-class military vehicle dataset.

• PyTorch
• Attention transfer
• ViT
• ONNX

Researcher

Real-time melt-pool segmentation and classification for Directed Energy Deposition additive manufacturing. I trained Fast-SCNN on high-speed coaxial imagery, benchmarked architectures for latency and FPS, and exported to ONNX for edge deployment. Written up as an IEEE-format research report.

• PyTorch
• Fast-SCNN
• ONNX
• LaTeX

ML lead, Team Vic-Trio

At Jadavpur University: segmenting and recognising handwritten characters across several scripts in degraded scanned documents. Our entry won, ranked #1 on the public leaderboard at 0.766. The pipeline was YOLO detection, a ConvNeXt ensemble classifier and test-time augmentation, trained on twin Kaggle T4s.

• YOLO v8 / v11
• ConvNeXt ensemble
• Test-time augmentation

Co-builder, hackathon team

An offline-first, voice-first PWA that photographs a family's paper prescriptions and turns them into a health timeline. It checks for duplicate therapy, interactions and allergies with deterministic rules (no LLM in the decision path), warns while a prescription is being typed, shares consent-scoped QR briefs with doctors, explains in Hindi by voice, and has an emergency card and caregiver mode. Built in 36 hours as a pnpm and Turborepo monorepo: 7 apps, 10 packages, 3 workers.

• Fastify
• Prisma
• NVIDIA NIM vision
• NATS JetStream
• PWA

Creator

Students press one button the moment they get lost. The system captures the lecture context, retrieves the right explanation from a hybrid BM25 and vector knowledge vault, and replies with a personalised voice explanation within seconds. Professors get a live view of exactly where the class lost the thread. FastAPI backend, Next.js frontend, fully on-prem. 2nd Runner-Up, Best Actian Usage at HexaFalls 2.0.

• FastAPI
• WebSockets
• sqlite-vec
• Next.js

Full-stack builder

A live SaaS: a hybrid ATS rule engine plus an LLM critique pipeline that parses any résumé, scores career readiness on five weighted factors, maps missing skills and predicts role fit. A Next.js 15 monorepo with a Hono API on Cloudflare Workers.

• Next.js 15
• Hono
• Cloudflare Workers
• LLM pipeline

Sole architect

A Rust-native terminal for BTC and ETH futures and options: real-time neural-ensemble inference, full options chains with Greeks, IV and OI surfaces, a fee-aware signal engine, and a headless CLI built so AI agents can operate it. About 90 MB of RAM, sub-millisecond internals.

• Rust
• Neural ensemble
• Options Greeks
• WebSockets