AI Systems Engineer & Full-Stack Architect specializing in high-concurrency backend microservices, production MLOps pipelines, and intelligent workflow automation. I bridge deep mathematical models with scalable infrastructure to solve complex distributed systems challenges.

• AI & Systems Engineering: LLM Integration, Advanced RAG Pipelines, Vector Search, Speech & Signal Processing, Token Optimization
• Core Languages: Python (Async/Profiling), Java, TypeScript, JavaScript, Kotlin, Bash
• Frameworks & Web: Django, Node.js, Express.js, React Native, MERN Stack
• Cloud, DevOps & MLOps: AWS (EC2, Lambda, IAM), Kubernetes, Docker, GitLab CI/CD, Ansible
• Data Infrastructure: MySQL, MongoDB, Redis, Automated ETL Pipelines

• High-Concurrency Optimization: Refactored core microservices using profiling and asynchronous tasks, boosting system efficiency by 50% to 70% in high-concurrency enterprise production environments.
• Automated Data Pipelines: Engineered automated real-time data pipelines via Python, MySQL, and MongoDB, cutting manual dashboard interventions by 70%.
• Production MLOps Infrastructure: Architected and deployed CI/CD pipelines utilizing GitLab CI and Ansible for 13+ interconnected microservice modules, accelerating deployment velocity by 50%.
• Distributed Test Orchestration: Formulated 200+ automated test protocols for AWS-hosted full-stack engines, increasing critical pre-production bug detection by 30%.

• Secure Runtime Architecture: Spearheaded a secure system runtime architecture prototype in Kotlin to dynamically isolate and mitigate system-level vulnerabilities.
• Threat Mitigation Automation: Developed automated threat validation protocols against active malware and network snooping exploits, reducing vulnerability metrics by 30%.
• Asynchronous Refactoring: Overhauled background security engines using multi-threaded, async fetching to slash background system scan latencies by 80%.

• Engineered an end-to-end automated deep learning image processing pipeline designed to ingest, process, and map complex geospatial satellite data maps.
• Tech Stack: Python, PyTorch, NumPy, OpenCV, Jupyter Ecosystem.
• Impact: Bronze Medal at Inter-IIT Tech Meet 2023

• Developed a voice-controlled intelligent engine utilizing audio signal processing models to map and execute custom vocal commands.
• Designed automated data visualization pipelines to ingest and process large-scale public datasets dynamically.
• Tech Stack: Python, Pandas, JavaScript, Web Audio API, Jupyter Notebooks.

• Architected a high-concurrency automated financial tool capturing 2,700+ downloads and hosting 2,000+ active users.
• Engineered low-latency, real-time data synchronization pipelines and immediate web push alert mechanisms via Firebase and React-Redux.
• Tech Stack: React Native, TypeScript, Node.js, Express, MongoDB, Redux, Firebase Cloud Services.

• Bronze Medalist — Inter-IIT Tech Meet: Awarded national technical honors for deep learning image processing.
• IIT Dharwad Technical Secretary: Elected head for two consecutive terms; managed technical budgets, hosted national hackathons, and secured corporate sponsorships.
• OSS Head & Open-Source Contributor: Head maintainer of the official IIT Dharwad Student Activity portal and active open-source contributor under @oss2019.

I'm always open to collaborating on AI systems, backend infrastructure, and open-source projects. Feel free to reach out!

Email: Get in touch via LinkedIn