Headline

Product @ Prismforce || BITS Pilani

About

I build AI products that people actually keep using after the demo ends. Started out as a software engineer. That's probably why I still can't help getting into the weeds with engineering on model choices and eval setups instead of just handing over a spec and walking away. I moved into product after a data pipeline project where I realized I cared more about why we were building something than how. At Prismforce I work on AI agents that parse resumes and pull out skills at scale, plus the evaluation work that keeps them reliable as they scale. Before that I led a search and discovery product from a rough hunch to something used by hundreds of thousands of people, and before that I was untangling ad spend inefficiencies for retail brands at CommerceIQ. A lot of the job comes down to getting a model to behave consistently, then making the case for why it's ready to ship. Outside work I've got my own AI agent setup running at home that handles routine tasks and pulls me in when something needs real judgment. It's a fun side project that also makes me faster at the actual work. Happy to talk shop about agents, evals, or AI product work in general, just message me.

Location

Bangalore Urban

AI stack

antigravity

claude code

codex

cursor

hugging face

openclaw

Work experience

Product Manager - II at Prismforce, Apr 2025 - Present · 1 yr 5 mos, Bangalore Urban, Karnataka, India, A Sequoia Capital-funded Series A B2B SaaS startup helping IT services firms manage workforce skills, staffing, learning, and talent intelligence across global delivery teams. Managed global products spanning India, Europe, and the US. 1. Launched an AI agent-led CV parsing product to extract candidate skills and experience across enterprise projects, significantly improving skill-matching accuracy to enable faster fulfillment and drive revenue uplift. 2. Defined product strategy for an insights engine and a DIY dashboard product that helps vertical leads detect inefficiencies in the learning and staffing pipeline, effectively reducing leakage and driving incremental revenue. 3. Built evaluation suites and context-engineering loops for resume parsing, skill accuracy, profile summaries, and new data-source integration features. This substantially improved output quality, performance, and algorithm efficiency across workflows.

Product Manager at Prismforce, Oct 2023 - Mar 2025 · 1 yr 6 mos, Bengaluru, Karnataka, India, 1. Drove user engagement by leading a 0-to-1 search and discovery product for employees and skills. Managed a large cross-functional team across product, design, engineering, and business functions from problem discovery through to launch. 2. Improved employee skill growth by designing a low-touch goal management system connecting learning activities to development goals. 3. Launched an automated resume generation workflow that drastically reduced resume creation time at an enterprise scale. 4. Launched and optimized retention features across badges, points, and leaderboards to drive continued user engagement.

Product Manager at CommerceIQ, Oct 2022 - Oct 2023 · 1 yr 1 mo, Bengaluru, Karnataka, India, A Softbank-funded B2B SaaS platform for consumer brands. Navigated high-growth ambiguity from Series B to Series D (3x ARR) to deliver multiple 0-to-1 product launches and scale platform capabilities for Fortune 500 clients and advertisers. 1. Drove an 8% lift in ad performance for US CPG enterprise clients managing $750M+ in ad spend by diagnosing campaign strategy, bid pacing, and budget allocation gaps, and converting successful experiments into a new 0-to-1 retail media product. 2. Spearheaded integration strategy of retail media platforms for 8+ retailers, including Walmart and Target. 3. Aligned US and India product, design, and engineering teams, reducing user actions by 25% through workflow and usability improvements. 4. Transformed platform UX and APIs to support hourly intervals instead of daily, giving granular control over ad campaigns. 5. Advised 30+ international clients on data-backed strategies for varied advertising goals with 50k+ daily actions on large portfolios.

Software Engineer at CommerceIQ, May 2021 - Oct 2022 · 1 yr 6 mos, Bangalore Urban, Karnataka, India, 1. Reduced workflow orchestration infrastructure costs by 15% across 80 clients by evaluating pipeline tools and implementing an end-to-end solution on AWS Step Functions across products, improving SLA compliance for scaled data workflows to over 99.9%. 2. Partnered with business analysts to improve reporting accuracy across 200k+ reports by identifying bottlenecks for data quality and scale. 3. Reduced report failure rates by 95% and report generation time by 30%, improving reliability of analytic deliverables. 4. Built a scalable onboarding pipeline that unified new retailer workflows, improved handoffs, and reduced onboarding time by 90%.

Software Engineer Intern at CommerceIQ, Jan 2021 - May 2021 · 5 mos, 1. Reduced cloud infrastructure costs by 30% by re-architecting workflow orchestration and optimizing high-volume data pipelines. 2. Reduced MongoDB and S3 storage costs by 30% for a market intelligence data crawling project using NodeJS.

Product Intern at OkCredit, Jul 2020 - Dec 2020 · 6 mos, 1. Acquired 7000+ users from the MSME sector on the new lending product initiative by owning the PRD, KPIs, and UX. 2. Orchestrated a $20mn GMV pilot project in the CEO's strategy and research team for evaluating the agri-tech industry and markets.

Full Stack Development Intern at Spaneos Software Solutions Pvt. Ltd., May 2019 - Jul 2019 · 3 mos, Bangalore Urban, Karnataka, India, 1. Assisted educational institutions in achieving accreditation through data analysis. 2. Programmatically aggregated records for learning & teaching methods analysis. 3. Saved time for institutes through data visualization and backend APIs.

Education

B.E., Computer Science, Birla Institute of Technology and Science, Pilani

Public links

github: https://github.com/mohanish3

mohanish-ai.com: https://www.mohanish-ai.com/portfolio