Software Engineer at Enterpret building production systems with Go, Python & AWS. Passionate about solving data-driven problems with AI/ML. Kaggle 3x Expert & Open Source Contributor.
I'm a Software Engineer at Enterpret, where I build production backend systems using Go, Python, and AWS. My work spans NLP pipelines, vector databases, and scalable API services that power customer feedback intelligence.
I graduated from IIIT Naya Raipur with a focus on Data Science & Artificial Intelligence. I'm driven by a deep curiosity for solving data-driven problems — from competitive data science to building real-world ML systems.
Outside of work, you'll find me competing on Kaggle, contributing to open-source projects, or hacking together prototypes at hackathons. I've participated in 100+ hackathons on Devfolio alone and have won prizes at 10 of them.
Deep Reinforcement Learning-powered autonomous rover that learns to navigate environments. Users draw a track, pick a start point, and watch the AI rover learn to drive itself in real-time.
An intelligent search engine powered by AI that delivers contextual, semantic search results. Built as a full-stack application with a modern interface and deployed on Vercel.
AI-powered fitness coach using machine learning for live training tracking and real-time posture detection. Monitors exercise execution and provides instant feedback.
EV charging infrastructure placement predictor. Uses data analysis and ML models to identify optimal locations for electric vehicle charging stations.
Vehicle tracking and face recognition system built for law enforcement. Combines object detection with facial recognition for real-time surveillance analytics.
A domain-specific language for trading strategies. Write, backtest, and execute trading logic using a clean, purpose-built syntax in Python.
Global rank 1,408 out of 203,634 (top 0.7%) competitors. Reached Expert Tier in 3 categories — Notebooks, Datasets, and Competitions — with 49 solo competitions entered and multiple top-5% finishes on featured code competitions.
Participated in 100+ hackathons across India and internationally, winning prizes and placements at events hosted by IITs, IIITs, NITs, and Major League Hacking. Total prize winnings exceed ₹1,00,000.
Gravity — IIIT Allahabad
Guru Gobind Singh Indraprastha University (GGSIPU)
Dept. of AI & Data Science — Karpagam College of Engineering
IIT Guwahati · AI-powered traffic safety & criminal tracking system
GDSC NIT Rourkela & Major League Hacking
Major League Hacking
Shri Shankracharya Technical Campus
IIIT Kota · Deep RL-powered autonomous rover simulation
Webwiz NIT Rourkela
GDSC NIT Jalandhar
My open-source journey started during Hacktoberfest with documentation fixes and grew into meaningful contributions to major ML libraries. I was also accepted into the Code4GovTech DMP 2024 program.
Major contributor to Ivy, an open-source unified AI framework that lets you write ML code once and run it across JAX, TensorFlow, PyTorch, and NumPy. Contributed implementations across multiple framework backends.
View ProjectContributed to sktime, the unified Python framework for time series analysis. Worked on improvements to the core library used by thousands of data scientists.
View ProjectAccepted into the Code4GovTech DMP 2024 program. Built open-source solutions for government digital public goods and civic technology as part of BelonggAI.
View ProjectContributed to Vakyansh, an open-source text-to-speech system for Indian languages, part of the EkStep Foundation's initiative for Indic language technology.
View ProjectWorked on experimentation platform for training and inference with wav2vec2 models for Hindi automatic speech recognition.
View ProjectWorked with Microsoft's official codebase for comparative study on quantization and knowledge distillation for machine translation models.
View ProjectA collection of hackathon certificates, internship completion letters, and course credentials from events hosted by IITs, IIITs, NITs, Microsoft, and industry partners.
IIT Guwahati · Smart Naka Track · Jan 2023
IIIT Kota · Autonomous Explorer · Apr 2023
ML-Powered Fitness Coach Project · Feb 2023
Design & Creative Competition · Sep 2023
Official completion letter from Swiggy
AI/ML Internship Certificate · Nov 2023
Technical Credential · Dec 2025
Kaggle Learn Course Completion · Sep 2022
Foundational ML Coursework · Jul 2022
Completed May 2023
Professional credential · Jun 2022
Multiple certificates · 2022–2023
All certificates are available in the shared Drive folder.
View all certificatesExpert-level recognition across Competitions, Notebooks & Datasets
Won 10 prizes across 100+ hackathons on Devfolio
5-star rating on CodeChef competitive programming
Video Vision Transformers for Violence Detection — arXiv 2022
13+ merged PRs to Ivy, sktime, EkStep & Code4GovTech
Community-recognized ML notebooks with 50+ published works
Presented an innovative approach to automated security monitoring using deep learning-based video vision transformers. The work addresses real-time detection of violent incidents in surveillance footage, incorporating data augmentation techniques to handle limited training data scenarios effectively.
Co-authors: Ghanta Sai Krishna, Sanskar Singh, Sainath Reddy, Shivaibhav Dewangan
Read on arXiv