Hi, I'm Sujit 👋
AI Engineer passionate about building end-to-end AI solutions, skilled in AWS, GCP, Azure, edge, and IoT. Very active on LinkedIn.
SL

Work Experience

Z

Zeex AI

AI & Cloud Engineer

May 2025 - Present

Worked on a real-time traffic dashboard by developing AI models and managing full-stack integration, earning a spot in the top 20 projects at CUMTA (Chennai Urban Metropolitan Transport Authority), and led the end-to-end development and AWS deployment of AI models for the retail industry, delivering scalable cloud solutions

R

RuTAG (Rural Technology Action Group) ,IIT Madras

Research Intern (IoT & AI)

May 2025 - Present

Used AI and IoT to build practical solutions for rural challenges by developing sensor-based systems with Arduino/Raspberry Pi for real-time data collection in agriculture and local automation.

R

Runverve

AI/ML & Cloud Engineering Intern

December 2024 - April 2025

Led cloud deployment using AWS and GCP, built and integrated secure RESTful APIs, worked on AI-powered Digital Twin models for athlete performance, and connected Strava fitness data to wellness platforms using Python and Flask to support digital health solutions.

Education

I

Indian Institute of Technology Madras

BS in Data Science & Applications

2022 - 2026
S

SRM Institute of Science & Technology, Chennai

B.Tech in Electronics and Communication Engineering with specialization in Data Science

2023 - 2027
U

Udacity

Nanodegree in AI, Machine Learning & Deep Learning

2023 - 2024
A

Atma Malik International School, Shirdi

Class XII

2020 - 2022

Skills

Python
FastAPI
Gen. AI & LLM
Machine Learning
C
JavaScript
React
Flask
PyTorch
TensorFlow
Deep Learning
PostgreSQL
AWS
Microsoft Azure
Arduino
Raspberry Pi
ESP32
My Projects

Check out my latest work

I've worked on a variety of projects, from simple websites to complex web applications. Here are a few of my favorites.

AI-Powered Pharmacy Automation Platform

Built an automated prescription system using OCR and LLMs to extract medicine data from handwritten prescriptions. Integrated a vector-based AI recommendation engine for generics and designed a smart inventory dashboard with real-time tracking and natural language SQL insights.

Python
LLMs
OCR
Vector Search
Flask
PostgreSQL

Fitness Tracker Based on ML for Strength Training

Used accelerometer and gyroscope data to build a machine learning model that tracks repetitions and form in strength exercises. Developed a web app for real-time analytics, syncing with sensor input for user progress and goal tracking.

Python
Machine Learning
Sensor Data
Flask
JavaScript

Newsletter Platform

Developed a full-stack newsletter platform with Flask and MongoDB supporting user subscriptions, scheduled emails, and content management. Implemented automated user authentication and email delivery systems.

Flask
MongoDB
HTML
CSS
JavaScript

Freeform Text Generation for Content Creators

Created a deep learning model to generate blog-style long-form content using NLP and Generative AI. Deployed the model with a cloud-hosted API and integrated a Cassandra database for scalability.

Deep Learning
NLP
Generative AI
Cassandra
Cloud Hosting

ML Workflow for Image Classification

Developed a complete image classification pipeline for a logistics company using AWS SageMaker, Lambda, and Step Functions. Automated data processing, model training, and deployment to the cloud.

AWS SageMaker
Lambda
Step Functions
S3
Python

AI-Powered Data Analysis System

Built an LLM-based system for real-time data analysis and insight generation from large datasets. Deployed on a secure and scalable cloud infrastructure.

LLMs
Machine Learning
Cloud Platforms
Data Engineering
Hackathons

I like building things

During my time in university, I attended 21+ hackathons. People from around the country would come together and build incredible things in 2-3 days. It was eye-opening to see the endless possibilities brought to life by a group of motivated and passionate individuals.

  • H

    Hack Western 5

    London, Ontario

    Developed a mobile application which delivered bedtime stories to children using augmented reality.
  • H

    Hack The North

    Waterloo, Ontario

    Developed a mobile application which delivers university campus wide events in real time to all students.
  • F

    FirstNet Public Safety Hackathon

    San Francisco, California

    Developed a mobile application which communcicates a victims medical data from inside an ambulance to doctors at hospital.
  • D

    DeveloperWeek Hackathon

    San Francisco, California

    Developed a web application which aggregates social media data regarding cryptocurrencies and predicts future prices.
  • H

    HackDavis

    Davis, California

    Developed a mobile application which allocates a daily carbon emission allowance to users to move towards a sustainable environment.
  • E

    ETH Waterloo

    Waterloo, Ontario

    Developed a blockchain application for doctors and pharmacists to perform trustless transactions and prevent overdosage in patients.
  • H

    Hack The North

    Waterloo, Ontario

    Developed a virtual reality application allowing users to see themselves in third person.
  • H

    Hack The 6ix

    Toronto, Ontario

    Developed an open platform for people shipping items to same place to combine shipping costs and save money.
  • S

    Stupid Hack Toronto

    Toronto, Ontario

    Developed a chrome extension which tracks which facebook profiles you have visited and immediately texts your girlfriend if you visited another girls page.
  • G

    Global AI Hackathon - Toronto

    Toronto, Ontario

    Developed a python library which can be imported to any python game and change difficulty of the game based on real time emotion of player. Uses OpenCV and webcam for facial recognition, and a custom Machine Learning Model trained on a [Kaggle Emotion Dataset](https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/leaderboard) using [Tensorflow](https://www.tensorflow.org/Tensorflow) and [Keras](https://keras.io/). This project recieved 1st place prize at the Global AI Hackathon - Toronto and was also invited to demo at [NextAI Canada](https://www.nextcanada.com/next-ai).
  • M

    McGill AI for Social Innovation Hackathon

    Montreal, Quebec

    Developed realtime facial microexpression analyzer using AI
  • O

    Open Source Circular Economy Days Hackathon

    Toronto, Ontario

    Developed a custom admin interface for food waste startup <a href='http://genecis.co/'>Genecis</a> to manage their data and provide analytics.
  • M

    Make School's Student App Competition 2017

    International

    Improved PocketDoc and submitted to online competition
  • H

    HackMining

    Toronto, Ontario

    Developed neural network to optimize a mining process
  • W

    Waterloo Equithon

    Waterloo, Ontario

    Developed Pocketdoc, an app in which you take a picture of a physical wound, and the app returns common solutions or cures to the injuries or diseases.
  • S

    SpaceApps Waterloo

    Waterloo, Ontario

    Developed Earthwatch, a web application which allows users in a plane to virtually see important points of interest about the world below them. They can even choose to fly away from their route and then fly back if they choose. Special thanks to CesiumJS for providing open source world and plane models.
  • M

    MHacks 9

    Ann Arbor, Michigan

    Developed Super Graphic Air Traffic, a VR website made to introduce people to the world of air traffic controlling. This project was built completely using THREE.js as well as a node backend server.
  • S

    StartHacks I

    Waterloo, Ontario

    Developed at StartHacks 2017, Recipic is a mobile app which allows you to take pictures of ingredients around your house, and it will recognize those ingredients using ClarifAI image recognition API and return possible recipes to make. Recipic recieved 1st place at the hackathon for best pitch and hack.
  • Q

    QHacks II

    Kingston, Ontario

    Developed a mobile game which enables city-wide manhunt with random lobbies
  • T

    Terrible Hacks V

    Waterloo, Ontario

    Developed a mock of Windows 11 with interesting notifications and functionality
  • P

    Portal Hackathon

    Kingston, Ontario

    Developed an internal widget for uploading assignments using Waterloo's portal app
Contact

Get in Touch

Want to chat? Just shoot me a dm with a direct question on twitter and I'll respond whenever I can. I will ignore all soliciting.