# Yash Patawari Jain > AI @ Spectrum Security | Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Generative AI | Carnegie Mellon Graduate Location: San Francisco, California, United States Profile: https://flows.cv/yashpatawarijain Changing traditional practices through working with data (Machine Learning) and Generative AI (Large Language Models, Diffusion Models) Graduate from Carnegie Mellon University (May 2024). Worked across multiple manufacturing domains like Furnace, Textile, Wire Drawing, Sheet Metal. Worked at the intersection of Manufacturing and Information Technology to communicate and validate feedback of clients. Check out more at: https://sites.google.com/view/yash-patawari-jain/home ## Work Experience ### Founding AI/ML Engineer @ Spectrum Security Jan 2025 – Present | San Francisco, California, United States Working on Agentic Engineering for Detection Engineering workflows ### MTS - AI Engineer @ Chima Jan 2024 – Jan 2025 | San Francisco, California, United States Worked on Agentic AI systems • Architected and built the core AI agent orchestration engine from scratch, which served as the "brains" for the "Sid" generative AI marketing platform. • Engineered the "Agent Builder" for Chima's low-code platform, developing the foundational systems for multi-step task decomposition, dynamic context engineering, and advanced prompt engineering. • Owned the end-to-end design of autonomous AI workflows, translating complex product goals (like "Autonomous BDRs" or "SEO Agents") into robust, multi-agent systems that could perform research, generate content, and execute tasks. • Pioneered the context engineering framework for the "Sid" platform, implementing strategies (e.g., RAG, state management) to provide agents with the right information at the right time for highly relevant, accurate outputs. • Led the prompt engineering and optimization efforts for all AI agents, designing, testing, and refining complex prompt chains to manage agent state, tools, and long-running, sophisticated tasks. ### Graduate Teaching Assistant @ Carnegie Mellon University's College of Engineering Jan 2024 – Jan 2024 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 24-262 (Mechanics II - 3D Design) in Spring 2024 Assisting Professor Christopher McComb to teach engineering and design principles to undergraduate students of Mechanical Engineering background ### Graduate Teaching Assistant @ Carnegie Mellon University's College of Engineering Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 24787 - Machine Learning and Artificial Intelligence for Engineers (Fall 2023) Assisting Professor L. Burak Kara to teach machine learning and artificial intelligence principles to graduate students. ### Graduate Teaching Assistant @ Carnegie Mellon University - Integrated Innovation Institute Jan 2024 – Jan 2024 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 49-736 (AI and IoT for the real world) in Spring 2024 Assisting Professor Geoffrey Dobson and Professor Chad Hershberger to teach AI principles to graduate students from engineering, design and business backgrounds ### Graduate Teaching Assistant @ Carnegie Mellon University - Integrated Innovation Institute Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 49742 - How Things Can be Made (Fall 2023) Assisting Professor Brandon Bodily to teach engineering and manufacturing principles to graduate students from engineering, design and business backgrounds ### Graduate Student Researcher @ Design Research Collective Jan 2022 – Jan 2024 | Pittsburgh, Pennsylvania, United States Research with Prof. Christopher McComb on Optimization for Design and Large Language Models applied to Design. Submissions: https://arxiv.org/abs/2405.03695 | https://arxiv.org/abs/2407.09719 ### Generative Design Research Intern @ Autodesk Jan 2023 – Jan 2023 | Boston, Massachusetts, United States • Collaborated with cross-functional teams to identify and prioritize key areas for experimentation with language models, leading to an improvement in material selection algorithms by selection of 8 criteria. • Applied prompt engineering to streamline data pipeline processes, resulting in an estimated 30% reduction in hallucination errors and ensuring the consistent delivery of accurate data. • Conducted in-depth market competitive analysis of 3 products, identifying key trends and opportunities for growth within industry for improvements in model-based systems engineering; Findings were presented to C-suite. • Generated in-depth analyses of recent research publications to identify emerging trends, resulting in the development of innovative design strategies and solutions. ### Graduate Teaching Assistant @ Carnegie Mellon University's College of Engineering Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 24-653 (Materials and their processing) (Spring 2023) Assisting Professor B. Reeja Jayan to teach materials science and process-structure-property relationships to graduate students ### Graduate Teaching Assistant @ Carnegie Mellon University's College of Engineering Jan 2023 – Jan 2023 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 24-262 (Mechanics II - 3D Design) (Spring 2023) Assisting Professor Christopher McComb to teach engineering and design principles to undergraduate students of Mechanical Engineering background ### Graduate Teaching Assistant @ Carnegie Mellon University - Integrated Innovation Institute Jan 2022 – Jan 2022 | Pittsburgh, Pennsylvania, United States Teaching Assistant for course 49742 - How Things Can be Made (Fall 2022) Assisting Professor Brandon Bodily to teach engineering and manufacturing principles to graduate students from engineering, design and business backgrounds ### Associate - Client Success and Product Management @ Levers for Change Digital Solutions Pvt. Ltd. Jan 2020 – Jan 2022 | Indore, Madhya Pradesh, India • Standardized data gathering points and nomenclature of shop floor items through process understanding and Gemba • Implemented a digital twin model on SaaS platform to reduce time from data entry to data gathering to data visualization for units with more than 50 manufacturing lines • Empowered and aided blue-collar workers to take data driven decisions through relevant dashboards resulting in lead time reduction of 24 hours • Facilitated the implementation of the Deming’s (PDCA) cycle on shop floor and industries using Management Control Systems • Utilized Gemba to map processes among differing industry types and used observational studies to facilitate smooth operations • Mediated and assisted stakeholders to hold effective meetings to drive up productivity • Surveyed key bottleneck areas across different industries and spearheaded implementation within 4 weeks of data gathering systems (soft and hard copy) to negate losses ### Graduate Engineer Trainee @ Ferco Shutters & Seating Systems Jan 2020 – Jan 2020 | Dubai, United Arab Emirates • Designed and validated a new shutter actuating mechanism o CAD software used for designing (Solidworks) o FEA software used for validating structural integrity (ANSYS) • Designed a sprocket gear for the shutter mechanism with consideration of few load based assumptions • Finalized the materials and mechanisms to be used using decision matrices with consideration of multiple variables; graded rank-wise • Demonstrated meshing variation for FEA analysis by creating varying mesh density for areas of interest to arrive at optimal simulation time ### Lead Design and Ergonomics Engineer @ Pravega Racing Jan 2019 – Jan 2020 | Vellore Area, India Design Lead: - Led a department of 10 members to ideate, design, validate and assemble a complete race car assembly with focus on reliability - Implemented Topology Optimization for manufacture of various parts such as Brake callipers to reduce weight by 40% in comparison to the stock calliper - Led the team to a 15th place in Engineering Design event at Formula Student Germany 2019, scoring 100/150 points - Won the BASF Best use of 3D printing award at Formula Student Germany 2019 while presenting the custom-made steering wheel for the car Ergonomics Lead: - Led a department of 6 members to improve driver response time and driver comfort – achieved a more responsive car according to driver feedback - Designed and manufactured a carbon-fibre based seat according to the largest driver impression and accommodated the other drivers using PU foam seat inserts - Designed and manufactured a custom steering wheel with TPU based steering grips and ABS base paddle shifters to aid the driver during driving. This also included shifter lights and a screen for necessary information for the driver to maneuver the car ### Design Engineer @ Pravega Racing Jan 2017 – Jan 2020 | Vellore Area, India - Designed and analysed critical components such as hubs and uprights of wheel assembly using CAD and FEA software on the basis of Factor of Safety - Designed the steering assembly for the car on the basis of inputs from Vehicle dynamics - Validation of Tubular space frame using NDT methods and Torsion test - Implemented DFAM principles when designing Data Logger box and Electrical Assembly box which were made from ABS material using FDM process - Implemented DFMA principles on the design at multiple junctions, for example, DFA principle was applied in designing crank shafts for ease of assembly so that tools could reach the necessary access points - Implemented FMEA principles while brainstorming for design. This helped in tackling potential pain points that might have occurred in future - Presented the Ergonomics Design Report at Formula Student Australasia 2018 scoring 9/10 and coming 4th in the Engineering Design event ### Summer Internship @ Autoline Industries Ltd Jan 2019 – Jan 2019 | Pune Area, India - Sheet Metal design considerations for brake pedals and validation through fatigue testing in various environments - E-bike and drivetrain calculations for motorized bicycle to be rolled out as new product - Catia v5 training and DFMEA and PFMEA training ### Summer Internship @ Concast Steel and Power Limited Jan 2018 – Jan 2018 | Bankura Area, India - TMT manufacturing understanding and uses - Maintenance and Quality monitoring for furnace ### Core committe member @ ASME VIT Jan 2016 – Jan 2018 | Vellore Area, India ### Core Committee member @ GGB VIT Jan 2016 – Jan 2018 | Vellore Area, India PR CORE TEAM ## Education ### Master of Science - MS in Mechanical Engineering Carnegie Mellon University ### Bachelor of Technology - BTech in Mechanical Engineering Vellore Institute of Technology ## Contact & Social - LinkedIn: https://linkedin.com/in/yash-patawari - Website: https://sites.google.com/view/yash-patawari-jain/home --- Source: https://flows.cv/yashpatawarijain JSON Resume: https://flows.cv/yashpatawarijain/resume.json Last updated: 2026-04-05