S

Saswati M

CEO

India13 yrs 9 mos experience
Most Likely To SwitchAI ML Practitioner

Key Highlights

  • 22 years of IT experience with a focus on AI/ML.
  • Led AI initiatives at top tech companies like SpaceX and OpenAI.
  • Expert in semiconductor design and manufacturing processes.
Stackforce AI infers this person is a highly skilled AI/ML engineer with extensive experience in semiconductor and aerospace industries.

Contact

Skills

Core Skills

Ai/mlChip ManufacturingAi ResearchQuantum ComputingAi/ml ConsultingAerospace EngineeringUser Experience DesignProduct ManagementAi EngineeringSemiconductor DesignIt ConsultingProduct DevelopmentUi/ux DesignInformation ArchitectureSystem-on-chip DesignMachine Learning

Other Skills

NPL Architecture3D Model strength analysisThermal AnalysisPrivate LLM System InfrastructurePhysics ML DevelopmentAdvanced algorithmsLevin Tree SearchML-based sampling techniquesRocket interior management systemsSpaceship communicationAI training datasetsRocket simulationsEngine efficiencyProduct FeaturesData Monetization

About

22 years of IT experience Product Building is my Strength AI/ML , Saas

Experience

13 yrs 9 mos
Total Experience
2 yrs 3 mos
Average Tenure
2 yrs 11 mos
Current Experience

Hypasia

Managing Director

Jul 2023Present · 2 yrs 11 mos · Manchester Area, United Kingdom · Hybrid

  • AI/ML model development for Chip manufacturing process innovation with high parameters of NPL Architecture
  • 3d Model strength and thermal Analysis with AI model.
  • Researching on Private LLM System Infrastructure.
  • AI Data Centre Manufacturing Plants in Norway, Sweden and Denmark
AI/MLChip manufacturingNPL Architecture3D Model strength analysisThermal AnalysisPrivate LLM System Infrastructure

Cloudfeather games

Artificial Intelligence Engineer

Aug 2022May 2023 · 9 mos · Remote

  • Lead AI research initiatives, including Physics ML Development for Quantum Computing Applications.
  • Innovated advanced algorithms (Levin Tree Search with Context Models) enhancing AI performance in complex simulations.
  • Enhanced computational efficiency through ML-based sampling techniques, critical for high-fidelity modeling and simulations.
AI researchPhysics ML DevelopmentQuantum ComputingAdvanced algorithmsLevin Tree SearchML-based sampling techniques

Spacex

Artificial Intelligence Consultant

Dec 2021Jul 2022 · 7 mos · California, United States · Remote

  • At SpaceX, I served as an AI/ML consultant, designing advanced algorithms to enhance rocket interior management systems and spaceship communication alert mechanisms. My role involved creating comprehensive datasets tailored for AI training, which significantly improved rocket performance accuracy and operational efficiency. Collaborating closely with NASA engineers, I developed algorithms that optimized rocket simulations, ensuring engine efficiency while maintaining system robustness across critical operations. This work contributed to advancements in rocket safety and operational effectiveness within the aerospace industry.
AI/ML consultingRocket interior management systemsSpaceship communicationAI training datasetsRocket simulationsEngine efficiency+1

Openai

Head of Business Product

Sep 2020Nov 2021 · 1 yr 2 mos · California, United States · Remote

  • Making seamless UX experience for WebGPT interface.
  • Creation of New Product Features
  • Lead at team and enterprise products, RAG, PAYMENT STACKS, PRICING/ PACKAGING, Data Monetization
  • Creation of Research Methods to fetch recent data from web and apply it in LLM
User Experience DesignProduct FeaturesData MonetizationResearch MethodsWebGPT interfaceProduct Management

Nvidia

Artificial Intelligence Engineer

Sep 2016Jan 2019 · 2 yrs 4 mos · California, United States · On-site

  • Led advanced physics-based machine learning implementations in CUDA infrastructure, significantly enhancing semiconductor design efficiency and accuracy.
  • Developed innovative AI solutions that optimized manufacturing processes, contributing to improved product quality and delivery timelines.
  • Conducted cutting-edge research in physics-informed neural networks, advancing the field with novel methodologies and applications within chip design.
Physics-based machine learningCUDA infrastructureAI solutionsManufacturing processesPhysics-informed neural networksAI Engineering+1

Mckinsey & company

Information Technology Consultant

Apr 2013Jun 2016 · 3 yrs 2 mos · New York, United States · Hybrid

  • Product Design: Provided end-to-end IT solutions tailored for our clients, focusing on designing innovative and scalable products to meet their unique needs.
  • Full-Stack Development: Ensured seamless integration of technology across all aspects of a client’s business, from development to deployment.
  • Strategic Consulting: Offered comprehensive consulting services to align technology with strategic goals, ensuring our clients’ IT capabilities supported long-term success.
  • User Experience Insights: Gathered and implemented user-centered insights to optimize product usability and satisfaction for our clients.
  • Brand Consistency: Worked to maintain brand consistency across all digital touchpoints, ensuring alignment with the company’s identity and strategy.
IT solutionsFull-Stack DevelopmentStrategic ConsultingUser Experience InsightsBrand ConsistencyIT Consulting+1

Intel corporation

Junior Product Manager

Jul 2009Feb 2013 · 3 yrs 7 mos · Santa Clara County, CA · On-site

  • Product Design: Overseeed the design process for multiple products across Intel's portfolio, ensuring alignment with company strategy and customer needs. Led the definition of product roadmaps, user personas, and wireframes, contributing to successful market entry of several key products.
  • Brand Guidelines: Developed and implemented brand guidelines that maintained consistency and quality across Intel's product line, enhancing brand recognition and appeal in a competitive market.
  • Strategies: Created comprehensive market positioning strategies leveraging Intel's strengths in semiconductor engineering and AI/ML technologies. This involved conducting competitive analysis, developing value propositions, and aligning product development with strategic goals to capture market share.
  • UI/UX: Improved user experience for critical products by conducting thorough usability testing and gathering customer feedback. Enhanced interfaces to meet functional requirements and enhance ease of use, resulting in increased customer satisfaction and retention rates.
  • Pricing: Adjusted pricing models based on market research and competitive analysis, ensuring products were priced competitively while maintaining profitability margins.
Product DesignMarket positioning strategiesUI/UX improvementsPricing modelsProduct ManagementUI/UX Design

Apple

Information Architect

Apr 2009Jun 2009 · 2 mos · Santa Clara, CA · On-site

Information ArchitectureWireframingInformation System DesignUI/UX Design

Ibm

System-on-Chip Design Engineer

Jan 2009Mar 2009 · 2 mos · United States · On-site

System-on-Chip DesignMachine LearningEnterprise Software

Education

Harvard University

Master's Degree — Electrical and Electronics Engineering

Jun 2014Aug 2016

Cornell University

Six sigma — Computer Science

Apr 2021Oct 2022

Deakin University

Master of Business Administration - MBA

Apr 2007Apr 2009

Deakin University

Bachelor's Degree — Computer Science

Apr 2004Oct 2007

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