Amogh Dikshit

About Amogh Dikshit

Expert in building AI Agents and product management with experience in creating and building AI tools and collaborating with software engineering team to convert them into scalable business solutions. As a Product Manager at House of Gaming, India\'s premier esport and web3 platform, I used to develop and execute Web3 sales strategies and curate FT utilities. I collaborated with cross-functional teams on social media schedules, marketing campaigns, and NFT promotions, and lead projects from ideation to completion. I also presented results and insights to customers and stakeholders, ensuring their satisfaction and feedback.Before joining House of Gaming as a founding member and Content & Marketing Lead, I earned my Bachelor\'s degree in Mass Media from the University of Mumbai. I am currently pursuing my MBA at the University of San Francisco, where I am eager to learn from the diverse and innovative faculty and peers. I am passionate about web3 and esports, and have a proven track record in business development, content creation, and community building. I have orchestrated over 100k online events, cultivated a user base of over 200k on YouTube, and established the first-ever revenue stream by managing India\'s top esports team. I am looking for a challenging internship opportunity in the San Francisco Bay Area, where I can apply my skills and knowledge to create value and impact.

Experience

1. Ai Engineer

   Amplitude

   Sep 2025 — Present · San Francisco, CA, US

   Built an evaluation framework for Amplitude’s multi-turn, multi-agent system, cutting error rates from 43% to 18% using an LLM-as-judge pipeline combined with SymEval semantic assertions and longform-QA evaluatorsDeveloped and owned \"Moda\" an internal AI agent integrating disparate company datasources (Slack, Glean, Zendesk, GitHub) to streamline information retrieval, achieving ~500 daily active usersEnabled multimodal support by converting images and documents to binary content and processing audio and video files as S3 URLs, reducing \"file type not supported\" errors by 87%Built a Glean indexing pipeline across Gainsight and Productboard datasources, enabling graph RAG for the AI agent and improving accuracy by ~20% when used in combination versus singular tool callsImplemented a conversation-level history processor using Pydantic AI to enable endless user conversations, reducing critical \"input tokens exceeded\" errors by 95%Part of a 3-person engineering team that built the Amplitude GitHub Agent (GitHub, Amplitude, Microsoft collaboration), unveiled at GitHub Universe and acquired 6+ enterprise customer signups on launch day

Education

• University of San Francisco

  Master of Business Administration - MBA

• University of Mumbai

  Bachelor of Mass Media: Journalism, Mass Communication/Media Studies