About Me
I'm a passionate software engineer and machine learning enthusiast, focused on building intelligent systems that solve real-world problems.
With a background in computer science and years of industry experience, I blend technical expertise with creative problem-solving to deliver innovative solutions.
Skills & Expertise
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Languages
Rust
Python
C++
Go
TypeScript
JavaScript
SQL
🔧
Technologies
PyTorch
Tensorflow
Django
NodeJS
Express
ReactJS
Next.js
TailWind CSS
Fastapi
Docker
Kubernetes (EKS)
AWS
Kafka
GIT
GraphQL
Databricks
Spark
Airflow
GitHub Actions
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Databases
MongoDB
Neo4j
DynamoDB
Redis
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Core Competencies
Hybrid Search & Vector DBs
LLM Engineering
Real-Time Systems
ML Model Finetuning
AI Integration in Web Apps
AWS Cost Optimization
CI/CD
Experience
Research Assistant
DSAIL, Kelley School of Business
Bloomington, IN
03/2024 – 12/2024
Achievements & Awards
Graduate Teaching Assistant, Indiana University
August 2024
Selected as a Graduate Teaching Assistant for Elements of AI (with Prof. David Leake) and Machine Learning in Signal Processing (with Prof. Jonathan Ponniah), supporting graduate students with lectures, assignments, and project mentorship.
SIH 2022 Grand Finale Winner
August 2022
Led the creation of a no-code chatbot-building platform at the SIH hackathon, competing among thousands of teams. Enhanced chatbot narrative understanding with AWS ECS, implemented Amazon S3 for conversational storage.
4th Rank in India Academia Connect AI Hackathon
October 2021
Created AI solutions for COVID-19 distancing, using YOLO for crowd monitoring and heat maps for sanitation planning.
87th Rank in Amazon ML Challenge
August 2021
Ranked 87th among 10,000+ in Amazon's ML Challenge by building a product categorization model using TF-IDF.
Projects
Image Inpainting
Harnessing segmentation-aware partial convolutions for ultra-precise image reconstruction.
Sprechen
Implementing Transformer-based architecture to convert text between languages with precision.
Highway Agent
Developed a reinforcement learning agent for autonomous highway navigation using actor-critic architecture and policy gradient framework.
PixTOPix
Engineered a Conditional GANs framework achieving 87% accuracy in satellite-to-map image translation with 100K Google Maps dataset.
Open-Notif
CLI for user-company connectivity with AWS (Lambda, SNS, SQS), MongoDB and Twilio. Achieved sub-3-second notification delivery using AWS Chalice for Infrastructure as Code.
Get In Touch
Have a project in mind or want to discuss potential opportunities? I'd love to hear from you!