Himakar

Yanamandra

Product Manager

San Francisco, CA

Himakar Yanamandra is a results-driven Product Manager with deep expertise in AI/ML and enterprise software. He holds a Master of Science in Product Management from Carnegie Mellon University, complemented by Master's and Bachelor's degrees in Computer Science and Engineering from the International Institute of Information Technology, Hyderabad. At YARD AI, Himakar revolutionized user portfolio creation, reducing time from 2 hours to 15 minutes by building a RAG pipeline and optimizing prompt engineering. He also developed end-to-end AI agents for automated case study generation and integrated AI tools with Slack and HubSpot for seamless workflow automation. Previously, at HONDA RESEARCH INSTITUTE, he designed a multi-agent conversational AI system that automated trend research, cutting manual analysis time by 30%. His experience includes architecting data lake solutions on AWS, building predictive analytics pipelines with SageMaker, and developing an alternative credit scoring system that unlocked credit for over 100K businesses and drove $500M+ in disbursals. Himakar delivers innovative solutions that drive significant business impact.

Featured Projects

Honda B Trendly Multi Agent
Trendly is an LLM-powered multi-agent system that turns scattered external signals into scored, explainable trend insights for Honda Research Institute and 99P Labs.
View Project](/content/portfolio/hyanaman/honda-b-trendly-multi-agent/index.html)

honda C
Developed a Multi-Agent System, the Trend Identification Pyramid, leveraging Large Language Models (LLMs) to automate the process of identifying and structuring actionable knowledge from diverse sources.
View Project](/content/portfolio/hyanaman/honda-c/index.html)

Interactive Square Game: UI/UX Optimization
This project redesigned the game's interface to enhance usability.
View Project](/content/portfolio/hyanaman/interactive-square-game-ui-ux-optimization/index.html)

AI-Driven Trend Identification and Analysis
Developed an AI-powered trend analysis tool to automate the identification and analysis of emerging trends from diverse data sources.
View Project](/content/portfolio/hyanaman/ai-driven-trend-identification-and-analysis/index.html)

Vehicle Age Restriction Rollback Analysis
The project involved a comprehensive analysis of vehicle age limits across various markets and proposed a rollback strategy.
View Project](/content/portfolio/hyanaman/vehicle-age-restriction-rollback-analysis/index.html)

Amazon Leadership Principle Application Guide
The guide helps candidates understand and prepare for behavioral questions focusing on Amazon's Leadership Principles.
View Project](/content/portfolio/hyanaman/amazon-leadership-principle-application-guide/index.html)

Disney.AI Conversational AI Platform
Disney.AI is a conversational AI platform that leverages Disney's IP and vast data to provide unique user experiences.
View Project](/content/portfolio/hyanaman/disney-ai-conversational-ai-platform/index.html)

Product Management Interview Prep Guide
This project is a comprehensive guide, "Decode & Conquer", designed to help product management candidates excel in interviews.
View Project](/content/portfolio/hyanaman/product-management-interview-prep-guide/index.html)

Canvas LMS: Education Platform Leadership
AI-driven tools for personalized learning and plagiarism detection.
View Project](/content/portfolio/hyanaman/canvas-lms-education-platform-leadership/index.html)

Canvas1 LMS: Education Platform Leadership
Canvas is a comprehensive LMS designed to enhance the learning experience.
View Project](/content/portfolio/hyanaman/canvas1-lms-education-platform-leadership/index.html)

Career-Ops: AI Job Search System
Career-Ops is an AI-powered multi-agent job search system, serving as a comprehensive command center for candidates.
View Project](/content/portfolio/hyanaman/career-ops-ai-job-search-system/index.html)

Experience

Senior Machine Learning Engineer

YARD AI
Dec 2025 — Present

  • Built RAG pipeline using embedding models and vector search, reducing user portfolio creation time from 2 hours to 15 minutes through prompt engineering and retrieval optimization.
  • Developed end-to-end AI agents leveraging LLM APIs for automated case study generation, integrating prompt construction, response handling, and tool use in production Python workflows.
  • Integrated AI tools with external platforms using APIs (Slack, HubSpot), handled authentication, rate limits, error cases, and logging for seamless workflow automation.
  • Monitored and maintained deployed AI agents in production, tracked quality metrics, triaged failures, and shipped improvements based on real usage data.

Senior Machine Learning Engineer Intern

HONDA RESEARCH INSTITUTE
Jul 2025 — Nov 2025

  • Designed a multi-agent conversational AI system using LLMs and RAG to automate trend research across unstructured sources, reducing manual analysis time by 30% and delivering ranked insights with executive-ready briefs.

Senior Machine Learning Engineer

ASWARTHA TECHNICAL SERVICES
Dec 2023 — Nov 2024

  • Designed and deployed data lake architecture on AWS (S3, Glue, Lambda) across multiple regions, enabling centralized data access for ML pipelines which reduced downtime by 15%.

Senior Machine Learning Engineer

CREDIT SAISON
Nov 2022 — Nov 2023

  • Architected alternative credit scoring system using ML models and deep learning on behavioral proxy data, unlocking credit access for 100K+ underserved businesses and driving $500M+ in disbursals in year one.

Senior Machine Learning Engineer

MICRON
Jun 2021 — Oct 2022

  • Deployed clustering and anomaly detection models on high-volume test data (TBs daily), built data pipelines for failure signature identification, reducing debug cycle time by 18%.

Machine Learning Engineer

LANGUAGE TRANSLATIONS RESEARCH CENTRE, IIIT-H
Dec 2017 — May 2021

  • Published 3 peer-reviewed papers on healthcare NLP and sentiment analysis.

Education

CARNEGIE MELLON UNIVERSITY

Master of Science (M.S.) in Product Management

INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY, HYDERABAD

Master of Science (M.S.) in Computer Science and Engineering

INTERNATIONAL INSTITUTE OF INFORMATION TECHNOLOGY, HYDERABAD

Bachelor of Technology (B. Tech) in Computer Science and Engineering