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Sayak Mondal

Exploring Generative AI | CSE @ VIT Vellore

sayakmondal10@gmail.comVellore, Tamil Nadu, IndiaGitHub: https://github.com/ElixerAxiomCalculusLinkedIn: https://www.linkedin.com/in/sayak-mondal-84b284213/Kaggle: https://www.kaggle.com/drelixerGoogle Scholar: https://scholar.google.com/citations?user=Ibk_GUkAAAAJ&hl=en

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Summary

I'm Sayak Mondal, a passionate CSE student from VIT Vellore with a love for AI, deep tech, and building futuristic digital experiences. I enjoy merging creativity with code to solve real-world problems, and believe in making technology accessible, meaningful, and fun. From Generative AI and neural networks to web development and automation, I'm always learning, building, and pushing what's possible!

Education

Bachelor of Technology (B.Tech.) in Computer Science and Engineering

Vellore Institute of Technology (VIT), Vellore

Expected 05/2028 · CGPA 8.97 · Vellore, Tamil Nadu

  • Core Committee Member at Mozilla Firefox Club and The AI/ML Club (TAM), VIT Vellore.
  • Also earned numerous certifications from reputed platforms like Microsoft, Meta, AWS, HackerRank, Google and more.

Experience

Software & AI InternHindustan Aeronautics Limited (HAL)

05/2026 - 06/2026 · Bengaluru, India · Aerospace / Defence

  • Developed and deployed full-stack software modules that modernized internal production databases and digital workflows supporting the manufacture of India's indigenous Tejas Light Combat Aircraft.
  • Integrated AI-assisted automation, web scraping, data-processing pipelines, and secure database operations into HAL's internal production environment, reducing reliance on legacy and manually operated workflows and contributed through developing internally deployed software designed for practical use by engineering and production stakeholders.
  • Presented the implemented solution and its operational capabilities to the senior-management personnel, engineers, and stakeholders, receiving positive feedback regarding its usability and potential production impact.

Skills: Artificial Intelligence (AI), Machine Learning, Data Analytics, Full-Stack Development

Core Committee MemberMozilla Firefox Club (VIT Student Chapter)

03/2025 - Current · Vellore, Tamil Nadu · Open Web

  • Contribute to open-web engineering projects using browser APIs, security, performance, and accessibility best practices.
  • Collaborate through Git-based workflows, code reviews, and structured development cycles.

Core Committee MemberThe AI-ML Club (TAM-VIT)

03/2025 - Current · VIT Vellore · Applied AI/ML

  • Build and deploy applied AI/ML solutions across NLP and computer vision domains.
  • Lead technical sessions and mentor peers on real-world model development and optimization.

Design & Technical MemberAikyataan VIT

VIT Vellore · Socio-cultural Growth

  • Contribute to Aikyataan, the Bengali literary club of the university, as a space for socio-cultural growth, stronger communication, and creative expression.
  • Support creative and technical execution for club initiatives while staying engaged with literature, language, and campus cultural life.

Projects

FinallyBot (2026)

Full-stack AI-powered financial assistant and quantitative trading terminal featuring JWT + OTP-secured authentication, conversational AI agent orchestration, real-time market data pipelines, and a 20 strategy quant engine with streaming execution.

Tech stack: FastAPI, Python 3.13, MongoDB Atlas (PyMongo), OpenAI (gpt-4o-mini), Google Gemini 2.5 Flash, yfinance, BeautifulSoup, Flask-SocketIO, Server-Sent Events (SSE), WebSockets, JWT (python-jose), bcrypt, pyotp, slowapi (rate limiting), React.js

Highlights: AI agent pipeline (intent → tools → LLM), real-time market analytics, financial calculators, 20-strategy backtesting engine, SSE/WebSocket streaming, MongoDB memory & scraping, production-ready REST API (44 endpoints). Created at VIT Hackathon Yantra'26 : Bidathon'26.

MedBot (2025)

Full-stack AI-powered medical chatbot delivering reference-backed responses using a Retrieval-Augmented Generation (RAG) pipeline.

Tech stack: Flutter Web (Provider, flutter_markdown), FastAPI, Python, Uvicorn, MongoDB, REST APIs, RAG architecture

Highlights: Semantic retrieval over medical knowledge base, context-aware response generation, scalable ASGI backend, web-deployable Flutter frontend.

GlobeGenie (2025)

Full-stack AI-powered global explorer generating interactive, location-driven travel guides with 3D visualization and contextual AI content.

Tech stack: React.js, Tailwind CSS, Three.js, FastAPI, Python, Uvicorn, Map/Geo APIs (GMaps API), REST

Highlights: 3D globe/map rendering, AI-contextualized travel info, modular frontend with backend for real-time geographical exploration.

EmotionCam

Real-time web-based multimodal AI application integrating facial emotion recognition, speech-to-text, tone classification, and sentiment analysis using live webcam and microphone streams.

Tech stack: Python, Flask, Flask-SocketIO, DeepFace, Vosk (offline STT), Hugging Face Transformers (DistilRoBERTa, Twitter-RoBERTa), React.js (Vite), WebRTC APIs, Socket.IO

Highlights: Real-time facial emotion detection via DeepFace, offline speech recognition using Vosk STT model, transformer-based tone & sentiment classification, WebRTC-powered live media capture, bi-directional streaming with Flask-SocketIO, privacy-first architecture (local processing, no external data transfer), dynamic dashboard with emotion bars, confidence scores & tone tags.

Publications

Accomplishments

Student Startup Venture Grant RecipientVIT Vellore

11/2025

  • Awarded Rs. 4L in seed funding to develop an AI-based early eye-disease detection system.
  • Selected from a pool of 150+ applicants and teams based on technical feasibility and business viability.

Skills

Artificial Intelligence

  • ML/DL: PyTorch, TensorFlow, Keras, Scikit-Learn
  • Computer Vision: OpenCV, YOLOv8, SegFormer, DeepFace
  • NLP & GenAI: Hugging Face Transformers, LangChain
  • Data & Audio: NumPy, Pandas, Matplotlib, Librosa, SpeechRecognition
  • Optimization & Deployment: ONNX
  • AI App Backends: Flask, FastAPI, Streamlit

Web Development

  • Frontend: HTML, CSS, JavaScript, React.js, Next.js
  • Backend: Node.js, Express.js, Flask, FastAPI
  • Databases: MySQL, PostgreSQL, MongoDB
  • DevOps & Deployment: Git, GitHub, Docker, Kubernetes, Netlify, Vercel, CI/CD

Programming Languages

  • Core: C/C++, Java, Python
  • Scientific & Analytical: MATLAB, R

Certifications

I've earned numerous certifications from reputed platforms like Microsoft, Meta, AWS, HackerRank, Google and more-demonstrating my commitment to continuous learning and technical mastery.

View All on LinkedIn: https://www.linkedin.com/in/sayak-mondal-84b284213/details/certifications/