Apr 2022 – Present · 4 yrs 2 mos · Greater Bengaluru Area · Hybrid

• Co-founding a consumer AI product in stealth integrating foundation models into user-facing intelligent systems.
• Leading research, engineering, and product design for AI-native workflows including agentic copilots and intelligent search and answering systems.
• Exploring scalable applications of Generative AI across select consumer domains with strong focus on usability and product-market fit.

Dec 2020 – Aug 2023 · 2 yrs 8 mos · I volunteered in this role as a panel member · Remote

• A member of the MIT Technology Review Global Panel, an exclusive forum of thought leaders, innovators, and executives, and have my say on the major tech trends of the day.
• As a panelist, I’m asked to take part in executive surveys conducted by MIT Technology Review Insights and share my expertise on a wide range of technology topics and research initiatives.
• I receive access to the survey results and specially prepared news and analysis to inform business strategy.
• And I have the chance to attend senior-level gatherings held the world over.
• https://www.linkedin.com/groups/13872538

Feb 2020 – Jan 2021 · 11 mos · I was volunteering in this role. · Remote

• HBR Ascend Select is an exclusive and an invite-only community of aspiring leaders, handpicked by HBR Ascend.
• As a member, I get the opportunity to share my views and opinions with the editorial, marketing, and product teams of HBR Ascend.
• I also participate in various research projects led by HBR Ascend.

Jan 2020 – Feb 2022 · 2 yrs 1 mo

• A Contributing Member of Python Software Foundation PSF (Official Python) Community. 2X PSF Board Member Nominee.

Nov 2019 – Present · 6 yrs 7 mos · Greater Bengaluru Area · Hybrid

• Founder & Chief Architect for reasoning-first AI infrastructure, leading the design of autonomous, agentic systems built for production reliability rather than benchmark-centric demos.
• Established the core thesis that reasoning is a trained, controllable system behavior — explicitly engineered, constrained, and evaluated under real-world cost, latency, and safety constraints.
• Building reasoning-first enterprise AI systems coordinating model architecture, evaluation, infrastructure, and MLOps end-to-end; currently focused on DeepBrainz-R and Lexopedia AI.
• Designed and trained small, efficient reasoning-first models optimized for agentic workflows, inference-time scaling, and predictable operational behavior in production.
• Architected AI systems with predictable behavior, economics, and latency by tightly coupling model design, evaluation strategy, and deployment infrastructure.
• Translated frontier AGI research into deployable, defensible AI infrastructure powering enterprise and customer-facing agentic systems.
• Defined product vision and go-to-market strategy for frontier AI offerings, translating research-grade capabilities into scalable, production-ready platforms.
• Operate end-to-end across research, systems architecture, engineering, and product, grounding first-principles AGI research in real-world deployment constraints.
• Shipped and iterated agentic AI systems with real enterprise users, incorporating deployment feedback, failure analysis, and customer-driven constraints into system design.

Jun 2016 – Oct 2019 · 3 yrs 4 mos · Greater Bengaluru Area · Remote

• Led early-stage AGI-oriented R&D across deep learning, reinforcement learning, computer vision, NLP, and generative models.
• Transitioned research prototypes into production-grade AI systems, laying the technical foundation for what later became DeepBrainz AI.
• Designed an early AI cloud platform enabling data ingestion, model training, deployment, and operationalization with minimal ML expertise.

Mar 2016 – Apr 2019 · 3 yrs 1 mo · Remote

• Competitive ML practitioner with top-tier performance in large-scale Kaggle competitions.
• Specialized in model development, evaluation, and optimization for computer vision and structured prediction tasks.
• Mentored practitioners and contributed to open ML communities through kernels, discussions, and code.

Jul 2015 – Sep 2019 · 4 yrs 2 mos · Greater Bengaluru Area · Hybrid

• Delivered end-to-end AI/ML systems for clients across data engineering, model development, deployment, and product integration.
• Architected distributed machine learning systems and cloud-native platforms for scalable AI applications.
• Advised founders and product teams on ML-driven product strategy, system design, and technical execution.

Jun 2013 – Apr 2016 · 2 yrs 10 mos · Greater Bengaluru Area · Hybrid

• Worked as a technical program manager and software architect on data-intensive and ML-driven systems.
• Contributed to and led open-source projects, collaborating with distributed engineering teams.
• Built and evaluated machine learning models for real-world computer vision and NLP applications.