# Kaushik Golithdka > Redefining AI @ Autodesk | Applied AI R&D | Full-Stack AI Engineer | Agentic AI, LLM Fine-Tuning, RAG | MS CS & AI (USC) Location: San Francisco, California, United States Profile: https://flows.cv/kaushikgolithdka 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. Specializing in Agentic AI systems, LLM fine-tuning, multi-agent orchestration, and retrieval-augmented generation (RAG), I design and implement AI systems that compress complex multi-step workflows from hours to minutes, automate repetitive tasks, and create measurable business impact at scale. I thrive at the intersection of AI research and applied engineering, rapidly transforming experimental concepts like agentic subagents, developer debugging agents, and AI-driven code orchestration into production-ready solutions. Reporting directly to the Head of Architect, VP, and CTO, my work has immediate visibility and strategic impact on Autodesk’s AI vision. Core Competencies: * Agentic AI & Multi-Agent Orchestration (main agent → subagents → MCPs) * Full-Stack AI Engineering: Backend orchestration + Frontend chatbot systems * LLM Fine-Tuning & Domain Adaptation * Retrieval-Augmented Generation (RAG) with embedding optimization * AI Workflow Automation & Developer Productivity Tools * Scalable Backend & Microservices (Python, Spring Boot, Docker, Azure) Highlights & Impact: * Built MCP orchestrator with main/subagent architecture, enabling parallel execution of tasks and reducing complex workflows by ~70–100x, dramatically improving developer productivity. * Developed subagents that autonomously code, test, validate, and review features 24x7, cutting development cycles by ~50–80%. * Created a Developer Debugging Agent that monitors coding, staging, and production deployments, reducing runtime errors and preventing system failures by ~60–80%. * Built AI-powered PR review agents that analyze full context and provide high-accuracy recommendations, accelerating code review turnaround by ~5–10x. * Applied latest LLM techniques to optimize AI decision-making and task automation pipelines, improving overall AI reliability and efficiency. * Delivered high-visibility AI features at 1–2 week cycles, ensuring rapid prototyping, iteration, and deployment across Autodesk. I’m passionate about building AI systems that empower developers, accelerate decision-making, and create measurable business impact, combining research-grade innovation with production-ready engineering. 📩 Contact: g.kaushik1996@gmail.com ## Work Experience ### Software Engineer 2 - Generative AI @ Autodesk Jan 2024 – Present | 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% ### Software Engineer Intern @ Autodesk Jan 2023 – Jan 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. ### Founder & CEO @ SarangU Jan 2023 – Jan 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. ### Graduate Research Assistant @ University of Southern California Jan 2022 – Jan 2024 | 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/ ### Software Engineer 2 @ OpenText Jan 2019 – Jan 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. ### Software Developer Intern @ OpenText Jan 2019 – Jan 2019 | Bengaluru Area, India * Web Services: Implemented the RESTful APIs using the Spring Rest Controller, HATEOAS, and JSON and maintained High-quality code through Unit Tests and Integration Tests. * Took the responsibility of being the lead of the team of interns and followed all the Agile practices. ### Software Developer Intern @ Pushkala Technologies - India Jan 2017 – Jan 2018 | Bengaluru Area, India * 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗲𝗱 a scalable 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗮𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 to control the Aquarium light using the 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗦𝘁𝘂𝗱𝗶𝗼 𝗳𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 to facilitate the Deep-Sea lighting effect. * 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗲𝗱 the Kinitis series Microcontroller using 𝗘𝗺𝗯𝗲𝗱𝗱𝗲𝗱 𝗖 and used 𝗣𝘆𝘁𝗵𝗼𝗻 𝗦𝗰𝗿𝗶𝗽𝘁𝘀 for validation. * This internship provided me the exposure to corporate work life and industry-level knowledge as an Undergraduate Student. ### Teaching Assistant @ University Visvesvaraya College of Engineering ( UVCE ) Jan 2016 – Jan 2017 | Bengaluru, Karnataka, India * 𝐓𝐚𝐮𝐠𝐡𝐭 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬, 𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝗱 𝗰𝗼𝘂𝗿𝘀𝗲 𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀, 𝗚𝗿𝗮𝗱𝗲𝗱 𝗮𝘀𝘀𝗶𝗴𝗻𝗺𝗲𝗻𝘁𝘀, and 𝗾𝘂𝗶𝘇𝘇𝗲𝘀, and held office hours to assist undergraduate students with code debugging and homework for CSI 103 - 𝗗𝗮𝘁𝗮 𝗦𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝘀 𝘄𝗶𝘁𝗵 𝗖, CSI 104 - 𝗗𝗲𝘀𝗶𝗴𝗻 𝗮𝗻𝗱 𝗔𝗻𝗮𝗹𝘆𝘀𝗶𝘀 𝗼𝗳 𝗔𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺𝘀. * 𝗧𝗿𝗮𝗶𝗻𝗲𝗱 Fresh CS and ECE UG Graduated Students of the 2017 batch on 𝗢𝗯𝗷𝗲𝗰𝘁-𝗢𝗿𝗶𝗲𝗻𝘁𝗲𝗱 𝗣𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴 at 𝗦𝗶𝗲𝗺𝗲𝗻𝘀 Bangalore. * 𝗘𝗱𝘂𝗰𝗮𝘁𝗲𝗱 3rd-year and 4th-year Undergraduate CS Students of KSIT University and SKIT University Bangalore on 𝗔𝗻𝗱𝗿𝗼𝗶𝗱 𝗔𝗽𝗽𝗹𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁. ## Education ### Master of Science - MS in Computer Science and AI University of Southern California ### Bachelor’s Degree in Computer Science And Engineering Bangalore University ### High School in Computer Science Kendriya Vidyalaya ## Contact & Social - LinkedIn: https://linkedin.com/in/kaushik-golithadka --- Source: https://flows.cv/kaushikgolithdka JSON Resume: https://flows.cv/kaushikgolithdka/resume.json Last updated: 2026-03-29