Headline

Chief Executive Officer @ Kairos System Pvt Ltd — Building India’s sovereign AI compute.

About

What I Do At Kairos Systems, we close the loop where national mandate becomes bankable infrastructure — building the sovereign compute layer that powers India's intelligent economy. By de-risking every rung of the capital stack, we make IndiaAI-mission-aligned, AI-grade data centers not just viable but investable — turning sovereign ambition into delivered, scalable capacity. Collaboration I actively collaborate with industry leaders, technology partners, and investors to co-create the infrastructure that advances India's digital future. I'm open to B2B partnerships and strategic collaborations — including sovereign data center investment, co-location, construction and O&M partnerships, and IndiaAI-mission-aligned ventures — where value can travel to every partner who holds the same principle: right rungs, right hands. Focus Areas Sovereign AI & Infrastructure Sovereign AI Data Centers | AI-grade Compute | IndiaAI Mission Alignment | 50 MW → 150 MW Scaling | Energy & Sustainability Capital & Bankability Capital Stack Structuring | Project Bankability | Risk De-risking | Seed, Debt & Equity | InvIT Exit Strategy Intelligent Systems Autonomous Decision-Making | Enterprise Automation | AI | Machine Learning | Reinforcement Learning Decentralized Technologies Blockchain | Web3 | DeFi | Crypto | Digital Assets Strategic & Economic Digital Sovereignty | Intelligent Economies | Digital Transformation | Product Innovation

Location

Mumbai

AI stack

claude code

claude

deepseek

gemini

kimi

meta

Work experience

Chief Executive Officer at Kairos System pvt ltd, Jul 2026 - Present · 2 mos, Noida, Uttar Pradesh, India, As CEO of Kairos Systems, I build the compute layer of India's digital sovereignty — a 50 MW AI-grade sovereign data center, scaling toward 150 MW, anchored by the IndiaAI mission. My work is closing the loop where national mandate becomes bankable certainty, de-risking the capital stack so that seed, debt, equity, and the InvIT exit each enter only what has been made bankable. What I build is not speculation but certainty — capital that trusts, risk that has already been retired, and value that reaches every partner — all governed by one principle: right rungs, right hands.

CEO / Co-Founder at Sridevtekai Pvt Ltd, May 2023 - Present · 3 yrs 4 mos, Hyderabad, Telangana, India, I founded and led an EduTech startup applying AI/ML to scale personalized tutoring and improve learning outcomes. I owned product, engineering and go to market, converting research models into teacher and student facing solutions focused on fast, measurable impact. • Product & GTM: Defined roadmap, prioritized features, coordinated UX/engineering/research, and ran classroom/home MVP pilots to validate pedagogy and market fit. • Model development: Designed architectures and fine tuning pipelines (LoRA/PEFT); set evaluation metrics and ran A/B and offline tests for accuracy, alignment and instructional quality. • Inference & deployment: Built containerized inference endpoints optimized for latency and cost; integrated monitoring, alerting and drift detection for production reliability. • MLOps & reproducibility: Implemented training pipelines, dataset versioning, model registry and CI/CD; produced model cards, API specs and runbooks for pilots and compliance. • Pilots & iteration: Ran multiple MVP pilots with educator partners, captured qualitative and quantitative feedback, and iterated via lean experiments to refine features and pedagogy. • Outcomes: Progressed several prototypes to beta within compressed cycles, improving engagement and showing early product market fit. Data & AI Engineering Skills • Modern data platforms: Built pipelines and medallion architectures using Python, PySpark, SQL, ETL/ELT, Azure Synapse, ADF and Databricks. • Azure & analytics: Hands on with ADLS, Azure ML, Azure DevOps, Azure Data Explorer and Power BI; implemented CI/CD, autoscaling and self serve analytics. • Applied AI / LLMs: Delivered LLM tools, RAG pipelines, agentic frameworks and anomaly detection; integrated cost aware inference. • Certifications: AI 102, DP 100, DP 900.

Chief Product Officer (CPO) / Co-Founder at TheProductLabs, Feb 2025 - May 2025 · 4 mos, Bangalore, As CPO at TheProductLabs I led product vision and delivery for an AI driven mobility platform simplifying EV ownership. I blend strategic product leadership with hands on execution—user research, MVP prioritization and cross functional alignment—enabling a steady 3–4 month prototype→beta cadence. • Product strategy & delivery: Defined roadmap for end to end EV experiences (charging, navigation, vehicle health, energy optimization); shipped architecture diagrams, API specs, model cards, runbooks and security checklists for beta pilots. • Team building & ops: Recruited and mentored cross functional teams (product, engineering, ML, UX); set hiring, onboarding, OKRs and a delivery cadence to sustain rapid experimentation. • MVP execution: Instituted lean experiments and OKRs to consistently move prototypes to market ready betas; coordinated demos and executive updates with U.S. stakeholders. Data & AI Engineering Highlights • Modern data platforms: Designed scalable pipelines and medallion architectures using Python, PySpark, SQL, ETL/ELT, Azure Synapse, Azure Data Factory and Databricks. • Azure & MLOps: Hands on with ADLS, Azure ML, Azure DevOps, Azure Data Explorer and Power BI; implemented CI/CD, autoscaling, monitoring and drift detection. • Impact: Improved runtime efficiency by 50%+ and reduced manual reporting by ~40% through optimized ingestion, transformation and dashboarding. • Applied AI / LLMs: Built LLM tools (OpenAI chatbots, referential integrity checkers), RAG pipelines, agentic AI frameworks and anomaly detection models; deployed containerized inference endpoints with cost/latency optimizations. • Certifications: AI 102, DP 100, DP 900. I focus on pragmatic, scalable AI productization that balances research rigor, production reliability and user outcomes. I’m passionate about building AI products that make EV ownership easier and more sustainable. I welcome conversations on piloting or scaling mobility innovations using AI,ML,NLP,DL .

Senior Product Manager at Columbia Sportswear, Chicago at Columbia Sportswear Company, Aug 2022 - Aug 2023 · 1 yr 1 mo, United States, I design and build scalable data platforms and AI products that turn complex data into actionable, reliable solutions across supply chain, aviation and digital domains. I combine hands on data engineering with product leadership to deliver measurable business outcomes. • Modern data architectures: Built end to end pipelines using Python, PySpark, SQL, ETL/ELT, Azure Synapse, ADF and Databricks; implemented medallion architectures and self serve analytics platforms. • Azure ecosystem expertise: Hands on with ADLS, Azure ML, Azure DevOps, Azure Data Explorer and Power BI; implemented CI/CD, automated deployments and governance for production reliability. • Data engineering impact: Managed ingestion, transformation, modeling and dashboarding workflows that improved runtime efficiency by 50%+ and reduced manual reporting by ~40%. • Applied AI & LLMs: Built LLM powered tools (OpenAI chatbots, referential integrity checkers), RAG pipelines, agentic AI frameworks and anomaly detection models; bridged model work with production MLOps. • Product leadership: Led product strategy and execution (Columbia Sportswear): prioritized backlogs, aligned roadmaps with U.S. stakeholders, defined MVP scope, and drove agile delivery across UX, engineering and QA. • Discovery & validation: Introduced data driven prioritization and usability testing into MVP cycles; ran pilots, gathered feedback and iterated features to raise delivery velocity and customer satisfaction. • Certifications & foundations: Certified AI/Data professional (AI 102, DP 100, DP 900) with strengths in predictive analytics, statistical modeling, Generative AI and NLP—bridging AI innovation with robust data engineering. Key outcomes: delivered production data platforms and LLM solutions that shortened time to market, improved team productivity, and produced measurable efficiency and engagement gains.

Senior Product Manager at Visa Inc, Chicago at Visa, Mar 2021 - Mar 2022 · 1 yr 1 mo, Remote, I implemented Scrum, boosting team productivity by 20%, and created a product roadmap that improved customer satisfaction by 15%. I collaborated with stakeholders to gather requirements, prioritize features, and maintain clear communication across the product lifecycle. • Role & scope: Led research to product delivery for AI, data, and security initiatives, owning end to end MVP delivery from concept and spec through beta release and operational handoff. • Team leadership: Defined hiring needs and recruited a 10–12 person cross functional team (engineers, PMs, designers). Established workflows, onboarding, OKRs and a high velocity delivery culture; mentored and managed performance. • MVP execution: Directed rapid 3–4 month MVP cycles; coordinated with U.S. research and product teams to translate prototypes into market relevant specs, run pilots, and iterate using lean practices. • Technical strategy: Partnered with engineering to define model serving patterns, CI/CD pipelines, telemetry and monitoring for ML features. Provided architecture guidance, identified risks early, and ensured scalability, reliability and security. • Documentation & stakeholder engagement: Authored product specs, architecture diagrams, API docs, model cards and runbooks; presented demos and executive updates, driving adoption and commercial alignment. • Impact: Increased feature adoption and contributed to multimillion dollar revenue for targeted offerings; established repeatable MVP processes for reliable handoffs to operations. This demonstrates managerial and technical leadership delivering AI/ML MVPs under tight timelines.

Education

Executive Education in Investment Banking and Capital Markets, Investment Banking And Capital Markets, Indian Institute of Management, Calcutta

Master of Business Laws, Master of Business Laws, National Law School of India University