# Rahul Nadkarni > MSCS @ NYU | SWE @ Opsera Location: New York, New York, United States Profile: https://flows.cv/rahulnadkarni Hi, I'm Rahul!I am driven by a simple goal- to build innovative systems that blend creativity, intelligence, and impact. I love exploring how ideas evolve into real, working technologies through design and experimentation. My interests span deep learning, computer vision, and generative modeling, especially where art and engineering intersect. I’m passionate about creating tools that expand what’s possible, and I treat every project as an opportunity to explore new frontiers. But more holistically, I enjoy building complete systems that connect ideas end-to-end, from low-level implementation to user-facing impact. Outside of tech, I stay grounded in creation and movement. Painting sharpens my attention to detail, while playing guitar teaches me rhythm and flow. Running clears my head and keeps me disciplined, and climbing challenges me to solve problems dynamically. Each of these pursuits reinforces the same mindset I bring to my work: thinking differently and learning continuously. If you think the same way, I’d be happy to connect! ## Work Experience ### Software Engineer (Applied AI) @ Opsera Jan 2025 – Present | Palo Alto, California, United States • Designed a Model Context Protocol (MCP) Generation System that converts APIs into MCP servers; achieved 95% faster API integration, 10x faster deployments, and 100% security compliance • Developed a Swagger Generation pipeline (10,000+ lines of production JS) that parses repositories, auto-documents endpoints with LLM-assisted annotations, and supports OpenAPI 2 to 3 conversion; eliminated manual Swagger creation for customers, significantly reducing onboarding time. • Integrated Swagger/MCP generation into both the CodeGlide.ai web platform and GitHub Actions workflow • Enhanced enterprise adoption with endpoint selection tools, schema validation, and automated error handling. • Developed an Adaptive LLM Routing System that dynamically selects between multiple foundation models (OpenAI, Anthropic) using semantic similarity, prompt classification, and historical metrics, reducing cost by 40% ### Machine Learning Researcher @ Baskin Engineering at UCSC Jan 2023 – Jan 2024 - Researcher from January 2023 - June 2024 in Professor Razvan Marinescu's Research Group - Initial research into Diffusion Models for MRI generation - Developed a Diffusion Model from scratch using PyTorch, Transformers, numpy, and Convolutional Neural Networks. - Implemented key components including UNet, encoder, decoder, upsampling, downsampling, and self-attention mechanisms - Explored Audio Machine Learning for healthcare applications, focusing on signal processing and machine learning techniques - Developed an Ensemble Learning Model combining a multi-feature CNN and XGBoost for respiratory disease classification - Applied advanced audio signal processing techniques such as Mel Spectrograms, Chroma Short Time Fourier Transforms, Mel Frequency Ceptral Coefficients, Spectral Rolloff, Spectral Centroid, and Zero Crossing Rate - Implemented various data augmentation methods, including time-stretching, pitch-shifting, and noise addition - Authored a research paper available on arXiv, currently awaiting journal publication as I actively submit to additional conferences. ### President @ Santa Cruz Artificial Intelligence | SCAI Jan 2022 – Jan 2024 | Santa Cruz, California, United States - Coordinated communications between Santa Cruz Artificial Intelligence (SCAI) and the university to ensure effective collaboration and support for club activities. - Designed and developed an inclusive curriculum accessible to all students by incorporating foundational AI concepts and advanced topics to cater to diverse skill levels. - Presented the curriculum and guided members through projects during meetings to achieve a hands-on learning environment and encourage active participation. - Networked with industry professionals to secure guest speakers to provide members with valuable insights and exposure to real-world AI applications. - Restructured the leadership team and club strategy to better incorporate new members and students - Developed and implemented new marketing campaigns to attract and retain members, thus significantly increasing club visibility and engagement. - Collaborated with leadership on various responsibilities, including curriculum design, marketing, financial management, project coordination, and outreach initiatives. - Helped organize AI competitions, providing members with opportunities to apply their skills in a competitive and collaborative setting. - Hosted talks for other clubs on campus to promote interdisciplinary collaboration in AI. - Networked with corporations to explore potential club sponsorships to secure resources and support to enhance club activities and member benefits. - Achieved a 500x growth in club membership under my presidency, which ultimately finished with SCAI as being one of the largest organizations on campus. ### Vice President @ Santa Cruz Artificial Intelligence | SCAI Jan 2021 – Jan 2022 | Santa Cruz, California, United States - Led instructional meetings, teaching members on various AI-related topics and guiding them through hands-on projects to enhance their practical skills. - Developed and refined the curriculum to keep the material fresh for new members. - Oversaw member projects, providing technical guidance to ensure members successfully complete their projects - Facilitated effective communication between Santa Cruz Artificial Intelligence (SCAI) and the University regarding club initiatives and promotions ### Member @ Santa Cruz Artificial Intelligence | SCAI Jan 2020 – Jan 2021 | Santa Cruz, California, United States - Gained an understanding of basic Machine Learning fundamentals, including key concepts such as supervised and unsupervised learning, model evaluation, and common algorithms like linear/logistic regression, clustering, and eventually dove into more complex Neural Networks. - Developed skills in reading and analyzing research papers to inform project design and implementation strategies. - Completed various mini-projects, applying machine learning techniques to real-world problems and gaining hands-on experience in data preprocessing, model building, and result interpretation. - Collaborated with other members on group projects, most notably working on an LSTM (Long Short Term Memory) solution for identifying intron and exon sequences in DNA. ### Machine Learning Intern @ Opsera Jan 2023 – Jan 2023 - Main designer behind Hummingbird AI, a Retrieval Augmented Generation (RAG) system, integrating chat capabilities into the DevOps platform to enhance customer data insights. - Developed expertise in Node.js backend development for deploying and migrating Python code to Node.js environments. - Proficient in SQL for database querying and model training, with experience in Clickhouse and MongoDB. - Conducted code testing using Postman for HTTP request validation. - Applied Langchain LLMs, OpenAI models, LlAmA model, HNSWLib, and Vector Stores - Collaborated with multinational teams spanning from the United States to India - Operated in an Agile environment for rapid development and iterative improvements. - Showcased the demo at the Dreamforce Conference in San Francisco ### Large Group Tutor @ Learning Support Services Jan 2023 – Jan 2023 | Santa Cruz, California, United States - Tutor for Computer Systems and Assembly Language ### Product Manager @ TERUM Jan 2022 – Jan 2022 -Refined the product vision and roadmap to fit the company's mission by designing new features and -redesigning previously implemented features. -Designed, documented, and tested key features of the MVP being developed -Allocated resources based on the priority of tasks and the equivalent opportunity cost. -Collaborated with the CEO in developing new product ideas and features to attract more investors into the company -Presented the team's progress, as well as new features, for development at board meetings. -Lead Agile sprints and collaborated with the engineering team to manage the backlog using JIRA -Analyzed user data and feedback in order to develop features and improvements that enhanced the overall app experience -Created and managed documentation regarding new features, testing, and user feedback ### Code Coach @ theCoderSchool Jan 2020 – Jan 2021 | Pleasanton, California, United States Code Instructor at The Coder School (7-10 hours a week) Developed an engaging curriculum according to client expectations Delivered online and in-person tutoring for students ages 8-16 in Python, C#/Unity, and Scratch Catered to different clients learning styles and age groups Maintained Client Relationships by providing constructive feedback about their progress ### Founder @ 3DCampusAR Jan 2018 – Jan 2020 | Pleasanton, California, United States Self Induced High School Project App allows students, teachers, and parents ability to navigate the high school campus using Augmented Reality Led a team of 6 high school students and developed app with Agile Methodology over 15 months Initiative endorsed and supported by the school administration Continuous Engagement and Collaboration with the district and school Secured funding from STEM Outside the Box - A Community Service NGO focused on encouraging student participation in STEM Successful launch on Apple App Store which led to 400 plus downloads Explored potential for a possible broader application across High Schools, Universities, and Colleges Primary Softwares: Unity, Blender, Photoshop, Trello, and C# ### Real Estate Intern @ John Rocha Real Estate Jan 2019 – Jan 2019 | Pleasanton, California, United States Researched housing market in the Alameda County Tri-Valley area Identified housing real estate redevelopment (flip) opportunities Understood the House Auction and Bidding Process Designed and Developed a modern website that reflected Mr.Rocha’s business services Gained a perspective on various aspects of business such as sales, marketing, and customer service. ## Education ### Master of Science - MS in Computer Science NYU Courant Institute School of Mathematics, Computing, and Data Science Jan 2024 – Jan 2026 ### Bachelor of Science - BS in Computer Engineering University of California, Santa Cruz Jan 2020 – Jan 2024 ### Diploma of Education Foothill High School Jan 2016 – Jan 2020 ## Contact & Social - LinkedIn: https://linkedin.com/in/rnadkarni3 --- Source: https://flows.cv/rahulnadkarni JSON Resume: https://flows.cv/rahulnadkarni/resume.json Last updated: 2026-03-20