Innovative Full-Stack AI Engineer with 6.5+ years of experience (4.5+ years full-time, 2+ years internships) driving groundbreaking AI solutions that redefine developer productivity.
San Francisco, California, United States
Driving high-impact AI solutions that redefine developer productivity. As part of the Applied AI R&D team, I rapidly research, prototype, and deploy full-stack agentic AI systems, working directly with the Head of Architect, VP, and CTO to influence Autodesk’s AI strategy.
Key Contributions:
* Agentic AI Orchestration: Built an MCP gateway with main/subagent hierarchy, executing tasks in parallel and reducing multi-hour workflows to minutes (~70–100x improvement).
* Autonomous Subagents: Developed agents that write, test, validate, and review code continuously (24x7), accelerating development cycles by ~50–80%.
* Developer Debugging Agent: Created a background agent that tracks developer activity from coding → staging → production, preventing runtime errors and reducing deployment issues by ~60–80%.
* AI-Powered Code Review: Implemented LLM-based PR review system providing full-context feedback, improving review turnaround and code quality by 5–10x.
* Rapid Prototyping: Delivered high-visibility features at 1–2 week cadence, leveraging the latest Applied AI research in production.
* LLM Fine-Tuning & RAG: Optimized domain-specific embeddings and decision-making workflows, improving AI precision and reliability.
* Strategic Leadership Impact: Solutions developed are directly visible to VP/CTO, shaping Autodesk’s AI productivity initiatives and future roadmap.
Business Impact:
* Reduced complex engineering workflows by ~70–100x
* Saved thousands of engineering hours annually
* Increased developer productivity and confidence in deployments
* Accelerated feature development cycles by 50–80%
2023 — 2024
San Francisco, California, United States
Architected and implemented an end-to-end CSLA document generation flow using Python, Terraform, and deployed on AWS.
Achieved a 50% reduction in manual workload for a full-time engineer, optimizing operational efficiency.
Reduced document generation time by 40% by implementing a scalable solution using CloudOS deployment.
Effectively safeguarded Autodesk from potential reputation damage, financial liabilities, & legal ramifications.
2023 — 2024
Los Angeles, California, United States
* Took idea from 0→1: Built app with Flutter (frontend), Firebase (backend), and Google Gemini AI for matching, content moderation, & personalization. Deep hands-on experience with Gemini, CoT prompting, and multimodal input handling.
* Implemented AI content-moderation pipeline to filter explicit content in real time, ensuring 99% compliance.
* Achieved stable prototype stage; paused further rollout due to transition into full‑time work commitments.
Los Angeles, California, United States
Leading the technical development of Los Angeles Homeless Count Project.
Collaborating on Projects which works with Homeless people allowance assistance.
Skilled in Sleep pattern recognition and data analysis using PyTorch, Matplotlib, and Python.
Led a team of 20 in organizing events that raised awareness and funds for African-American elders.
Collaborated on research projects with USC, UCLA, and UCI, resulting in new insights into sleep patterns
https://www.precinctreporter.com/oc-racism-bad-for-brain-health/
2019 — 2022
Bengaluru, Karnataka, India
* Scalable Backend Systems: Designed and developed a scalable Anti-Malware product with 10x processing capacity by implementing Spring Boot micro services, optimizing DB bulk copy operations, and deploying on Docker containers, improving system efficiency.
* Optimized backend architecture using Task-let-based micro services, reducing processing overhead and enhancing system performance by 25%.
* Developed and optimized 100+ RESTful APIs with Spring Boot, cutting response times by 50% and significantly improving system responsiveness.
* Resolved complex customer issues in Java and .NET, leading to a 15% increase in customer satisfaction through faster issue resolution and improved service reliability.
* Integrated advanced models into backend systems, collaborating across teams to enhance functionality, automate threat detection, and improve overall system efficiency.
* Pitched a business case to product owners for streamlining the Windows 11 upgrade process on eligible devices, freeing up 75,000 hours of IT admin effort across 150,000 devices.
Education
University of Southern California
Master of Science - MS
Bangalore University
Bachelor’s Degree
Kendriya Vidyalaya