Software Engineer (Jan’24 - Present)
Full-Stack development on the Omnichannel Analytics Product (Angular/TypeScript, C#/.Net, MongoDB/SQL Server, Azure)
Research Assistant (Feb’23 - May’23)
Machine Learning Engineer (Python, Numpy, Pandas, Scikit-Learn, ML Algorithms)
Project Trainee (Dec’22 - Jan’23)
Data Analyst in the supply chain management division (MS PowerBI, Python, MS Excel, MS Office)
New grad passionate about coding, I've worked on production ready analytics tools, predictive models, and full-stack apps at Milestone Inc and Bosch.
Outside work, I explore new technologies, contribute to community projects, and enjoy movies. Building my career, one commit at a time. Let's connect on GitHub and LinkedIn!
View ResumeDeveloped an AI-powered web application that scrapes Google Maps reviews using FastAPI and pyppeteer. The reviews are summarized using Google Generative AI, providing users with concise and meaningful summaries.This project reinforced my skills in Python, FastAPI, web scraping, and AI integration. Faced challenges in managing large-scale data scraping and processing, proactively implementing solutions to ensure efficient data handling and response times.
Conducted sentiment analysis on IMDB movie reviews using Natural Language Processing (NLP) techniques. Compared the performance of a pre-trained BERT model and a custom TensorFlow Transformer model, achieving accuracies of 94% and 88%, respectively. This project reinforced my skills in machine learning, NLP, and model evaluation. I proactively addressed challenges in data preprocessing and model tuning, ensuring robust and accurate sentiment predictions.
A full-stack web application with a respnsive designed made for creating, updating, and managing tickets with user authentication and role-based access.
My inbox is open in case you have any questions or just wanna say a hello!
Let's get in touch if you have any relevant roles for me!
Mail Me!