I design intelligent systems and data-driven solutions combining machine learning, backend development, and clean code to solve real-world problems.
1 Year
Internship Experience
I'm a Computer Science graduate from NYU, passionate about building scalable AI/ML pipelines and robust backend systems. I've interned at Emerson, Junglee Games, and HPE, and worked on impactful projects like CrisisCast and dementia prediction models.
My approach combines technical expertise with creative problem-solving to deliver high-quality solutions. I'm dedicated to writing clean, efficient code and creating intuitive user experiences.
Here are some of my recent projects. Each one was carefully crafted to solve specific problems and deliver value.
Developed an end-to-end real-time pipeline that ingests social signals from Reddit and Google, classifies posts using a fine-tuned LLM, and visualizes crises on a dynamic dashboard. Leveraged Kafka, PySpark, FastAPI, MongoDB, and Qdrant for scalable processing and semantic search.
Built a full-stack app fine-tuning Stable Diffusion XL with DreamBooth and LoRA for generating user-personalized AI images. Integrated a Flask backend and Gradio frontend for real-time image generation with a feedback slider.
Built an ML-powered tool to estimate NYC rental prices using 300K+ property listings scraped via APIs. Developed a hybrid classification-regression model with 81% accuracy on price bins and RMSE under $300. Deployed via Flask and Dash with LLM-powered report generation for broker insights.
Here's a snapshot of my technical toolkit—ranging from machine learning and big data to full-stack development and deployment.
My professional path and educational background that shaped my expertise.
New York University
Mentored 400+ students through office hours, clarifying concepts in diffusion models, RL, and advanced deep learning
Emerson
Built an LLM-based validation tool using T5 and One-Class SVMs to automate DeltaV code checks, saving manual QA hours.
Junglee Games
Extracted and modeled user gameplay data, deployed ML pipelines with AWS Lambda, S3, API Gateway, and tracked metrics.
Hewlett Packard Enterprise
Built a document management platform using Django, HTML, CSS, JS; integrated AWS services for storage and authentication.
New York University (Tandon School of Engineering)
Focus: AI/ML, Big Data, and Deep Learning. TA for Deep Learning. Projects include CrisisCast, LLM fine-tuning, and RAG pipelines.
Manipal University Jaipur
Graduated with Honors. Worked on NLP projects including hybrid language detection and dementia prediction (published).
