Shonil Sateesh Bhide
Software Developer | Data Engineer | AI Enthusiast
Master's in Computer Science, North Carolina State University
About Me
Ever since I wrote my first "Hello World" program, I've been captivated by the power of technology to create meaningful solutions. As a Software Developer & Data Engineer, I thrive on building AI-driven applications that blend innovation with real-world impact. I specialize in machine learning, big data processing, and scalable cloud architectures.
But beyond code, I'm an extrovert who loves the outdoors. You'll often find me on hiking trails, capturing breathtaking landscapes, or playing the Kalimba, a soothing African musical instrument. Creativity fuels my passion, and I express it through doodling and art.
My Journey
Master of Computer Science
North Carolina State University
Graduated with a GPA of 4/4, Specialized in AI, Machine Learning, and Big Data Engineering.
Gen-AI Engineer Intern
Frobe AI
Developed scalable AI pipelines and optimized Retrieval-Augmented Generation (RAG) models using LLM fine-tuning. Integrated Redis for efficient vector database storage.
Analyst - Data Engineer
Deloitte Consulting
Built end-to-end CI/CD ETL pipelines using PySpark & BigQuery, optimizing tax report processing for Walmart. Designed and maintained scalable data pipelines for analytics. Built and maintained AWS Glue jobs for Vanguard's cloud migration, processing 20M+ daily trades and automating validation workflows, while configuring AWS services (EC2, S3, SQS, Step Functions, CloudFormation, DynamoDB, Aurora) to enhance security, monitoring, and scalability.
Research AI/ML Intern
Centre for Development of Advanced Computing (C-DAC) India
Developed AI-driven solutions for deduplication of data based on demographic nuances. Published research in Springer's LNNS journal series and presented at WORLDS4 conference.
Bachelor of Technology in Computer Science
Maharashtra Institute of Technology, Pune
Graduated with a GPA of 9.97/10, focusing on AI & Big Data.
Featured Projects
Smart Banking Customer Analysis
Data Analyst
Analyzed 70,000 bank customer profiles to help the bank understand which customers would be interested in term deposits. Created visual dashboards and built a smart prediction system that could accurately identify potential customers 87% of the time, helping the bank target their marketing efforts more effectively.
🎯 Result: 87% accuracy in predicting customer interest
Early Disease Detection in Dogs
AI Research Engineer
Developed a smart system to detect early signs of arthritis in dogs by analyzing their walking patterns on special pressure-sensitive walkways, in collaboration with NC State Vet School. The system uses advanced AI to spot subtle changes that veterinarians might miss, achieving 92% accuracy in early detection and potentially helping dogs get treatment sooner.
🎯 Result: 92% accuracy in early arthritis detection
Skill-Share Learning Platform
Team Lead & Full Stack Developer
Led a team to build a platform where people can share their skills and learn from others. Think of it like a matchmaking service for learning - if you want to learn guitar and someone wants to learn coding, the platform connects you. Built the entire system from scratch during a hackathon competition.
🎯 Result: Connected learners with mentors efficiently
CI Optimization for Open Source GitHub Repos
Software Engineer
Created a smart system that dramatically speeds up software testing by remembering which tests failed before and running those first. Instead of running all tests for 30+ minutes every time, the system now completes in just 2-4 minutes by focusing on the most likely problems first. The method was tested on the actual pytest-dev repository and the results are from that repo.
🎯 Result: 90% reduction in testing time (30+ min to 2-4 min)
Emotion Recognition from Voice
AI Research Engineer
Developed a system that can detect emotions (happy, sad, angry, etc.) from someone's voice, similar to how humans can tell when someone is upset just by hearing them speak. The system achieved 68% accuracy in identifying emotions and could be used to improve customer service or help people with communication difficulties.
🎯 Result: 68% accuracy in voice emotion detection
Wolf Track 5.0 - Job Application Management System
Full Stack Developer
Developed a comprehensive job application management system using Python (Flask) with a user-friendly interface featuring dynamic job tables, search functionality, and resume upload. Built a Job Skills Extractor using Natural Language Processing to automate data extraction from resumes. Implemented REST APIs for real-time interaction and MySQL database with full CRUD operations.
🎯 Result: Automated resume processing with NLP integration
GraphCine: GNN-Powered Movie Recommendation Engine
AI Developer
Built an intelligent movie recommendation system using Graph Neural Networks (GNNs) that suggests films you'll actually want to watch. Unlike simple systems that just look at ratings, this one understands complex relationships between movies, actors, and viewer preferences using advanced graph technology. Achieved RMSE of 0.912 and MAE of 0.760, significantly outperforming traditional collaborative filtering methods.
🎯 Result: RMSE: 0.912, MAE: 0.760 - Superior to traditional methods
Get in Touch
Contact me: shonilsbhide@gmail.com