I'm a passionate engineer with deep interest in building intelligent, end-to-end systems that combine full-stack development, DevOps, and AI. My journey began with curiosity about system architectures—from web app backends to neural network internals. That curiosity evolved into hands-on pursuit of creating meaningful, scalable applications where NLP, deep learning, and system design converge to solve real-world problems.
With solid foundations in traditional software engineering and modern cloud-native architectures, I focus on building robust systems that bridge development and production. My experience spans containerized microservices, real-time APIs, and scalable ML deployment pipelines. I've developed intelligent applications, integrated ML models, and automated CI/CD workflows to end-to-end ML lifecycles—always optimizing for performance, simplicity, and reproducibility.
I'm particularly passionate about developing applications that bring cutting-edge research to life—making NLP and deep learning models accessible and efficient. From orchestrating deployments to scaling training jobs and fine-tuning transformers, I work across the stack to deliver production-ready solutions. I believe great engineering combines empathy, creativity, and clarity—and I'm excited to push boundaries at the intersection of DevOps, AI, and modern software development.
MIDAS Lab
Pretraining and Benchmarking Small Language Models (LLMs)
Leading the pretraining and benchmarking of lightweight LLMs optimized for specialized tasks across healthcare, legal, and technical domains. Focused on maximizing performance-to-cost ratio through careful dataset curation, architecture tuning, and efficient training strategies. Evaluating model effectiveness on standard NLP benchmarks with emphasis on minimizing compute requirements while preserving high accuracy.
Complex Systems Lab
Real-Time Data Integration & Interactive Web Visualization
Designed and developed dynamic web applications for real-time complex dataset visualization. Led full-stack development from UI/UX design to backend optimization. Integrated multiple open-source datasets including OpenFoodFacts, RecipeDB, Carbon Footprint DB, and FNDDS. Applied ML models for exploratory and spatial data analysis, enabling real-time deployment of insights for data-driven decision-making.
Independent Projects
Multi-Modal AI Systems Development
Developed advanced multi-modal AI systems combining computer vision and NLP. Built sarcasm detection tools using BART encoders with VIT backbone architecture. Implemented SpanBERT-CRF systems for enhanced question-answering capabilities. Focused on creating production-ready AI solutions with Docker and Kubernetes deployment strategies.
DreamDot Platform
Microservices Architecture & Social Platform
Architected and developed a scalable creator-first social media platform using microservices architecture. Implemented content monetization, real-time chat, media sharing, and NFT marketplace features. Utilized Go for backend services, PostgreSQL for data persistence, and React for frontend. Integrated blockchain technology for secure transaction logging with Razorpay payment processing.
I'm always interested in challenging DevOps and MLOps opportunities. Whether you need infrastructure automation, ML pipeline development, or scalable system architecture, let's discuss how we can collaborate to build the future.
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