Jan 2023 – Jan 2026 · 3 yrs · Waterloo, Ontario, Canada · Remote

• I joined InfinyOn as employee #12 at seed stage with a mandate: achieve product-market fit and build a sustainable business around our open source streaming platform, Fluvio.
• I am Leading the AI Operations Pivot (2025) I led our strategic pivot to AI operations with CoAgent (coa.dev) - positioning it as "Logging, Testing, Monitoring for GenAI applications and agents."
• The insight: 95% of AI projects fail to reach production not from model issues, but lack of operational visibility. I personally led discovery, sales, and executive alignment, securing 3 commercial pilots in 6 months (enterprise software, text-to-SQL, financial services).
• Our differentiation came from positioning - framing CoAgent as AI Engineers already understand, not "another AI tool."
• Building the Revenue Engine (2023-2024) - I launched Stateful Dataflow with YAML/SQL interfaces for stateful stream processing, solving our biggest gap: enterprises needed state management for real-time analytics.
• Results: first 6-figure enterprise deal plus 3 additional customers, growing MRR to $5K.
• Growing Open Source CommunityLed strategy to optimize Fluvio's binary 10x, driving GitHub stars from 1.2K to 5K+, monthly downloads to tens of thousands, and community reach to hundreds of thousands. Attracted enterprise validation through contributions from Tencent, Alibaba, Walmart, AWS, plus integrations with NATS, DuckDB, Qdrant, Arroyo.
• I also co-led organizational restructuring from 15 to 5 people to move faster and extend runway.
• I've co-owned end-to-end product: strategy, roadmap, pricing/packaging, and GTM across OSS, cloud, and enterprise.

Nov 2021 – Dec 2022 · 1 yr 1 mo · Waterloo, Ontario, Canada · Remote

• Promoted from Senior PM to Group PM within first review cycle, inheriting 5 PMs, 5 teams, and the entire data platform when my manager left after 2 weeks.
• Data as a service - New Revenue Stream
• Within 3 months, my data platform team delivered to the first Data Brokerage/DaaS customer. The DaaS product became Jungle Scout's third product line and highest ACV offering (high 6-figure to 7-figure deals).
• We built $5M+ year-one pipeline, securing household-name retailers and eCommerce aggregators.
• Enabled product-led growth via Snowflake Data Cloud and AWS Data Exchange for try-before-buy.
• Fixing Unit Economics
• When I joined, our hosting costs were completely unsustainable. My data platform squad delivered a 9-month operational efficiency program: pipeline re-engineering, observability, governance streamlining, and vendor negotiations. Results: 70% reduction in hosting costs, transforming data/AI gross margins from negative to healthy.
• Team Leadership
• Led data platform portfolio across Data Collection, Platform, Data Science, ML Ops, and Frontend. Hired/backfilled 3 PMs. Managed teams running thousands of ML models powering competitive intelligence, trends, and our new data brokerage business.

Jun 2021 – Oct 2021 · 4 mos · Toronto, Ontario, Canada · Hybrid

• Joined to fix fragmented analytics for a 5M+ user employee engagement platform serving 400+ enterprises.
• Resetting Strategy
• Aligned with CPO/CEO on complete analytics reset, reframing our approach: use recognition/giving patterns as proxies for collaboration and engagement. Results: 24% increase in analytics MAU within 4 months.
• Fixing Data Quality
• The bigger problem was trust. I consolidated fragmented reporting, fixed metric reliability at source, and enabled daily data freshness through domain-driven data model. Rebuilt customer confidence in our analytics.
• Technical Leadership
• Led GCP migration prototypes (BigQuery, Dataflow), implemented data mesh principles, and delivered de-identified datasets for data science/NLP. Managed 5 engineers and 3 data scientists, ran QBRs and executive readouts.

Jan 2020 – Present · 6 yrs 4 mos

• Technical, Platform, and Data Product Management mentor on MentorCruise, Plato, CoLab, ADPList
• Cultivating product strategy, problem framing, mental models, data-informed product management through 1:1 mentoring sessions.

Oct 2019 – Jun 2021 · 1 yr 8 mos · Toronto, Canada Area

• Product Owner for GM's AI Center of Excellence, an internal startup deploying AI across the 165K+ person organization. Measured on innovation impact, patents, and operational efficiency.
• $100M Impact
• Led auto insurance claims categorization system for GM Finance, automating processing of millions of claims annually. Quantified impact: $100M+ per year in saved man-hours. Partnered with engineering lead, navigating stakeholders across Finance, Insurance, IT to deliver production AI at Fortune 50 scale.
• Portfolio Management
• Led 7+ initiatives across manufacturing quality (paint defect detection), connected vehicles (HVAC optimization, autonomous driving experiments), predictive analytics (pothole detection), and customer retention (AI-augmented marketing). Orchestrated prioritization and executive reporting across business units.
• Delivery and Team
• Ran scaled-agile program cadence from intake through production. Led 4 data scientists, 1 MLE, team lead, plus matrixed engineering/analytics. Advanced initiatives through value gates from discovery to pilot to production. Contributed to multiple patent applications.

Aug 2018 – Apr 2019 · 8 mos · Toronto, Canada Area · Remote

• Forward-deployed with Top-10 pharma companies, building AI solutions in highly regulated environments where compliance is non-negotiable.
• $3M in Billable Projects
• Led 5 proof-of-value engagements for pharma and global standards organizations. Owned scope definition with C-level execs, delivery coordination, and executive readouts across high 6-figure projects.
• AI for Regulated Industries
• Built three major solutions:
• Clinical trial adverse event automation using pre-generative AI NLP (autoencoders, text processing). Automated reporting across pharma, healthcare providers, safety officers, back-office. Results: orders of magnitude efficiency improvement, faster safety triage.
• Drug discovery optimization: eliminated chemical agents with prior safety issues, predicted half-life of compounds, streamlined agent selection.
• FDA-compliant label generation: automated marketing labels based on lawsuit history while ensuring regulatory compliance.
• Coordinated 5-10 contributors across data science, ML engineering, regulatory SMEs. Delivered PoVs in 8-12 weeks with 3-6 month production paths.
• Commercial Strategy
• Co-created SOWs and success metrics with clients. Built reusable solution templates and internal AI roadmap.

Jul 2016 – Apr 2018 · 1 yr 9 mos · Hyderabad, Telangana, India · On-site

• Employee #7, reporting to CEO. Built multimodal AI surveillance for highly secure facilities (prisons, law enforcement). Acquired by Kaliber Labs fall 2018.
• Scaling Team and Company
• Built Product & Data Science from 0 to 12 people. Helped scale company to ~80 employees through US merger. Worked hands-on with CEO on acquisition execution.
• State-of-the-Art AI Performance
• Delivered production models for keyword spotting, speech emotion recognition, and violent activity detection - matching/exceeding published benchmarks. Deployed 7 models on private cloud for classified surveillance. Business case: every security incident costs millions; our alerts enabled preemptive security.
• End-to-End ML Infrastructure
• Built complete pipeline: semi-automated labeling, data ops, training (CNNs, autoencoders, SVMs, generative models, RL), MLOps for multimodal data (speech/audio, video, text).
• R&D and Cost Savings
• Led IIT collaborations coordinating 20-30 external contributors (professors, PhD researchers). Built internal speech-annotation app avoiding ~$700K in vendor costs (e.g., Scale AI) while reducing time-to-data.
• Offered post-acquisition role but declined due to Canada relocation.

Jun 2014 – Jul 2014 · 1 mo

• Allscripts is a leading healthcare software company delivering operational SaaS across the entire healthcare continuum. I focused on analytics software development, user acceptance testing, backlog management, and customer support for hospital systems.
• Building Big Data Infrastructure
• Collaborated with engineering to build MVP big data platform processing 4 TB of clinical data on private cloud. This was early days of healthcare analytics - pre-cloud infrastructure, heavy regulatory requirements, and complex data integration across disparate hospital systems.
• Enterprise Healthcare Delivery
• Delivered prioritized analytics product specs for 50+ US hospitals, each with up to 1,000 users. Managed the complexity of enterprise healthcare: long sales cycles, strict compliance requirements, and mission-critical systems where downtime affects patient care. Learned to balance innovation with reliability in regulated environments.
• Data Integrity and Compliance
• Identified critical reporting gaps and built an auditing application to validate data mapping, ensuring 100% data integrity. In healthcare, data accuracy isn't just about good UX - it's about patient safety and regulatory compliance.
• Revenue Impact
• Exceeded targets by achieving 100% Meaningful Use (MU) compliance, resulting in $3M additional revenue. MU compliance enabled hospitals to receive government incentives for adopting certified EHR technology - our analytics capabilities were critical to meeting those requirements.
• This role taught me how to build enterprise software in highly regulated environments where compliance and accuracy are non-negotiable.

Apr 2014 – Jun 2014 · 2 mos

Apr 2013 – Mar 2014 · 11 mos

Sep 2012 – Mar 2013 · 6 mos

Apr 2012 – Sep 2012 · 5 mos

Jun 2011 – Mar 2012 · 9 mos

Jan 2011 – Jun 2011 · 5 mos

Apr 2014 – Jul 2016 · 2 yrs 3 mos · Bengaluru Area, India

• Co-founded Tappozz as a direct-to-consumer eCommerce brand for avant-garde interchangeable footwear and accessories. Led product vision and digital execution while co-founders handled fashion design and marketing.
• Building the Business Model
• This was my first full-time startup - learning by doing. I ran 100+ MVP experiments in 9 months to find product-market fit and optimize sales channels. Tested everything: different product configurations, pricing strategies, customer acquisition channels, checkout flows, and messaging. The rapid experimentation taught me how to fail fast and iterate based on real customer feedback.
• Building Digital Infrastructure
• Designed and developed our digital storefront from scratch - this was before Shopify made it easy. Built the eCommerce platform to showcase our unique interchangeable footwear system, handle inventory, process payments, and manage customer orders. Generated $100K in revenue in first 6 months.
• Go-to-Market Execution
• Defined and executed GTM strategy to acquire our first 1,000 customers. Learned the fundamentals of customer acquisition, retention, and unit economics. Tested paid channels, content marketing, influencer partnerships, and referral programs to find what worked for a fashion brand with limited budget.
• Key Lessons
• This startup taught me the fundamentals of 0-to-1 product development: validate assumptions quickly, talk to customers constantly, and don't fall in love with your first idea. These lessons shaped my approach to product leadership in every role since.

Jan 2014 – Jul 2016 · 2 yrs 6 mos · Bengaluru Area, India

• Freelance Technical Instructor/Faculty: Big Data & Apache Hadoop Ecosystem, Data Analytics, Machine Learning with Python.
• Worked with multiple education technology companies - Simplilearn, Edureka, Dezyre, Learnsocial, Redstone Learning etc.

Jul 2009 – Jan 2011 · 1 yr 6 mos · Pune, India

• In this role, my work involved analysis and processing of clinical data to assist with clinical decision support for health insurance providers.
• (*Care Management International got Acquired by Cotivity*)

Jan 2008 – Jun 2009 · 1 yr 5 mos · Pune, India

• Worked on the backend software maintenance of a mainframe-based retail store inventory management system and a telecom broadband service infrastructure management system.
• (*IBM Daksh Business Process Services got Acquired by Concentrix*)

Mar 2006 – Dec 2007 · 1 yr 9 mos · Pune, India

• Worked on supporting an online ticketing and reservation system of an Airline based in the US
• Trained new hires