I'm an AI/ML engineer and B.Tech CSE student specializing in computer vision, generative AI, and MLOps. I intern in MLOps at Futurence Technologies, actively contribute to Headlamp, and mentor contributors across GSSoC '26, SWOC '26, and OSCG '26 as Campus Lead for Open Source Connect. I placed Top 50 globally at ECWoC '26.

What I work on:

• Open source: active contributions to Headlamp, plus a fix for a silent SYMBOL-cast bug in QuestDB
• Applied ML: an XGBoost intrusion-detection model (97%+ accuracy on UNSW-NB15), diffusion-based generative art, and CV pipelines for hackathons like BAH (occlusion-robust road extraction)
• Data engineering and distributed systems: pipelines on HDFS, Spark, and Airflow; cloud-native architectures on AWS (S3, Lambda, SQS, DynamoDB, Textract)
• MLOps: CI/CD on Azure DevOps, and Argus, a self-healing ML monitoring pipeline built on Kafka, Airflow, MLflow, and Evidently AI

Why sponsor me:
Mentoring and open-source maintenance compete with a full course load and internship. Sponsorship buys back that time — for better documentation, more mentorship hours, and projects like Nyay Saathi, a voice-first legal aid tool for informal workers.

If my contributions or mentorship have been useful to you, sponsoring helps me keep building in the open.