Languages, frameworks and tools I use to build production systems.
A sample of what I've shipped recently.
Spearheaded the 0-to-1 charter to build an ad delivery engine, campaign & catalog manager, and S2S Event APIs for hyper-personalized shopping ads. Generated ₹1.3cr in 2023 H2, orchestrating GTM with hyper-value e-commerce apps like Shopsy & Meesho, and D2C Shopify merchants.
Led a cross-functional team (5 PMs, 4 Designers, 10 SDEs, 4 AdOps, 7 BizOps) to steer product vision for a flagship all-in-one self-serve tool for advertisers. Grew SMB gross MRR 36% QoQ to ₹2.7cr (3x activation, 1.3x net revenue retention, 1.6x yield, 1.7x budget consumption) and increased MRR by 60L/month (22%) via Automatic Billing using UPI Collect.
Established and managed a Data Science team of 4 (S)PMs and 8 MLEs to optimize 20M+ job ads daily. Released Media Planner and Autotrader, adding $125K/mo (22%) to margins. Optimized ads for Google Search Index via Title NER, semantic analysis, JD enrichment, and location expansion, reducing CPC by 27%.
A timeline of where I've worked and what I shipped.
Spearheaded the P&L and 0-to-1 charter for Dynamic Shopping Ads, building a stack for ad delivery, campaign/catalog management, S2S Event APIs, and ad formats, generating ₹1.3cr in 2023 H2. Architected a bid computation engine with a two-tower candidate generator and multi-task learning product ranker, achieving 67% recall@5 & 52% precision@5 in product recommendation. Led a cross-functional team of 5 PMs, 4 Designers, 10 SDEs, 4 AdOps, and 7 BizOps for the Ads Manager Platform, growing SMB gross MRR 36% QoQ to ₹2.7cr (3x activation, 1.3x net revenue retention, 1.6x yield, 1.7x budget consumption). Launched Automatic Billing using UPI Collect, increasing MRR by 60L/month (22%), and launched Audience Manager to cater to acquisition, (re)activation, and cross-selling use-cases, reducing time-to-value by 47%, cost-to-service by 18%, and resolution TAT by 92%.
Established and managed a Data Science team of 4 (S)PMs and 8 MLEs to optimize 20M+ job ads daily, growing the team 120% over 2022 H1. Released Media Planner to optimize publisher × bid selection and Autotrader to automate trading, adding $125K/mo (22%) to margins. Built LatLong Location Normalizer (99% coverage) and O*NET Occupation Classifier using SentenceBERT embeddings (78% recall). Optimized ads for Google Search Index via Title NER, semantic analysis, JD enrichment, and location expansion, reducing CPC by 27%. Devised job-to-candidates search-matching algorithms (84% F1-score) using collaborative & content-based filtering. Instituted Analytics pod to serve SQL queries / Power BI requests and created B-plan for pay-per-hire model with $26 bn TAM.
Launched a farm decision support app powered by R-CNN algorithms, improving gross profits of 300K users across 4 states by 26%. Improved precision to 97% and boosted WAU 1.3x by compressing the model to 4MB for offline inference and sourcing signals from IBM. Managed 12 Google Fellows to launch “Annotation Studio,” core infrastructure to automate annotation jobs and streamline data ingestion. Co-founded Ideation & Incubation unit within CEO's office, winning HUL hackathon and AWS innovation sandbox at Amazon CIC.
Managed a national poll of 160K respondents on a $3.5M budget via a distributed workforce of 1500+ to inform Prime Minister's federal policy. Raised $1M from BMGF and partnered with DigitalGlobe, NCAER & IIT-D to innovate in satellite/geospatial, wearable & sensor datasets. Led business development efforts with Wharton School, Development Data Labs, and CIFF, securing projects worth $5 million.
Incubated at Harvard Innovation Labs and raised $30K in pre-seed. Awarded by Nobel laureate Kofi Annan at the Geneva Challenge 2017. Enabled Shortlist, a talent tech firm in India/Kenya, in faster and data-led candidate screening of 20K+ job-seekers, slashing effort by 90% for a full-stack AI co-pilot to enable low-cost high-volume hiring of blue collar jobseekers using gamified crowdsourcing of peer referrals.
Designed micro loan/insurance products, delivering 23% higher returns to lenders, collaborating with MIT, HBS & UChicago researchers.
Disrupted agri value chains' marketing & ops by partnering with Walmart, USAID & IFC; added $30K (15%) to ARR for 10K+ farmers.
Rohan Parakh is an accomplished Product Leader with over 11 years of experience driving innovation and growth across diverse sectors including B2B SaaS, Consumer Internet, AdTech, HRTech, and AgTech. His core expertise lies at the intersection of Artificial Intelligence, Computer Vision, Language Modeling, Deep Learning, and Search, where he has a proven track record of spearheading 0-to-1 product development and monetizing cutting-edge technologies.
Throughout his career, Rohan has consistently delivered measurable impact, from leading a Data Science team that optimized 20M+ job ads daily at JOVEO to generating ₹1.3cr in H2 2023 by orchestrating the GTM for dynamic shopping ads at ShareChat. He has a unique ability to translate complex technical concepts into successful product strategies, exemplified by his work with R-CNN algorithms for farm decision support, improving gross profits by 26%, and optimizing ads for Google Search Index to reduce CPC by 27%. His leadership extends to managing cross-functional teams, securing significant funding, and fostering innovation through initiatives like co-founding an incubation unit at Wadhwani AI.
Passionate about leveraging AI and data to solve complex real-world problems, Rohan thrives in environments that demand strategic vision, technical depth, and a relentless focus on user impact and business growth. He is particularly adept at building and scaling products that leverage advanced machine learning techniques to drive monetization and efficiency, always seeking opportunities to shape the future of product development through innovative solutions.
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