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I build and ship practical AI and software systems that solve real problems under real constraints. My work spans machine learning, full-stack development, and cloud deployment. I developed an AI-powered class scheduling system used by 500+ students that parses emails to automatically adjust timetables and detect common free slots, optimized to run reliably on low-resource servers. I fine-tuned a 2B-parameter Gemma model using LoRA-PEFT for Hinglish-to-English translation, achieving significant BLEU improvement with drastically fewer trainable parameters. I built RCPM (Rudra’s Critical Path Method), a graph-based project planning tool using NetworkX and Graphviz to automate AON workflows with Google Sheets integration. In computer vision, I created Centre Face, a real-time facial alignment tool that automatically centers users during video calls.
Professionally, I have shipped production systems across multiple internships. At Crynostics Inc., I led cross-platform AI app integration and optimized AWS infrastructure (S3, RDS, Lambda, API Gateway), reducing API latency by 35% while strengthening security with IAM-based controls. At CureClaims LLP, I built an automated mediclaim reconciliation system that reduced manual workload by 60% and deployed fine-tuned LLMs through Flask APIs for real-time claim verification. At Magma, I engineered six production-grade applications using ReactJS, Flask, and Android SDK, designing secure APIs and encryption layers to ensure high uptime and operational efficiency. Across all projects, I focus on measurable impact, system efficiency, and building solutions that move from idea to deployed product.
Happy Coding ❤️ !!
Featured work
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scienceLabwork/Stable-Action
Samsung Super Steady Horizon Lock - rebuilt for iPhone.
Swift 235 -
scienceLabwork/CentreFace
Centre Face is an example of how we can implement Centre Stage like feature using OpenCV
Python 2