Jan 2019 – Jan 2022 · 3 yrs · Mumbai, Maharashtra, India · Remote

• Progressed from Principal Data Scientist to Director of IT, reflecting a track record of technical and leadership excellence over four years.
• Led enterprise-wide cloud transformation, migrating 100% applications from on-prem infrastructure to scalable, secure cloud platforms.
• Directed development of AI solutions for automated medical chart processing, enabling accurate clinical information extraction at scale. Reduced data entry time by 82% and human error by 6%.
• Implemented critical AI components for drone-based vision systems for anomaly detection in large warehouses, integrating real-time image processing and analytics and delivering 99.8% inventory location accuracy and 50% reduction in cycle-count.
• Developed Dialogflow based chatbot for language and query understanding and intent extraction resulting in more engaging and optimized customer support.
• Recruited and led a multidisciplinary team of engineers, ML practitioners, and QA to execute AI initiatives.
• Played a key role in client technology proposals, solution architecture, and strategic presentations tailored to business objectives.
• Acted as the primary technical liaison to CXOs, translating AI strategy into executive-aligned goals and measurable outcomes.
• Managed IT budgeting, operational planning, and governance to ensure alignment between AI investments and organizational value.

Jan 2017 – Dec 2019 · 2 yrs 11 mos · Chicago, Illinois, United States · Remote

• Led AI strategy and development of award winning DecisionIQ and Adverse Media Screening, enabling 10M+ annual transactions across 193 countries and verifying 10,000+ sources.
• Architected AI and NLP pipelines for data normalization, de-duplication, and entity resolution, reducing false positives by 70% and manual workload by 50%.
• Achieved 35% reduction in client onboarding cost through collaborative AI-human screening workflows and real-time explainable decisioning.
• Directed design of a cloud-native compliance platform integrating screening, case management, and ongoing monitoring with best-in-class AI transparency.
• Led cross-functional teams and aligned AI/ML strategy with regulatory standards and business objectives.
• Supported integration with major partners (EY, Finclusive, Intellicheck), powering global CaaS platforms.
• Contributed to the company's inclusion in REGTECH100 and AIFINTECH100 as a top AI innovator.

Jan 2015 – Dec 2016 · 1 yr 11 mos · Mumbai Area, India · On-site

• Led a geographically distributed team of AI researchers to develop cutting-edge prototypes applying human cognition models, machine learning, deep learning, NLP, and ontology-driven frameworks-focused on drone video analytics and geospatial AI for urban infrastructure assessment and risk analysis for a global insurer.
• Partnered with product evangelists, enterprise customers, and internal solution teams to translate complex business challenges into scalable AI-driven proofs of concept, accelerating product innovation and market readiness.
• Mentored Ph.D. candidates and data scientists, guiding research direction and fostering a culture of innovation, rigor, and industry relevance within the AI/ML
• domain.
• Contributed to the organization's intellectual property portfolio with 2 awarded patents and 5 peer-reviewed publications in leading AI/ML conferences, reinforcing thought leadership and domain expertise.

Jan 2013 – Apr 2014 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

• Led a team of machine learning engineers in a research-driven initiative to evaluate and enhance matrix factorization techniques (variational Bayesian algorithms) for next-generation recommendation systems, resulting in a peer-reviewed journal publication.
• Designed and deployed machine learning solutions to improve document image quality and OCR accuracy, enabling scalable, automated invoice processing in enterprise environments.
• Applied advanced image processing and registration algorithms to CT and MRI brain scans, contributing to early innovations in AI-driven healthcare imaging and diagnostic workflows.

Jul 2007 – Dec 2012 · 5 yrs 5 mos · Mumbai Suburban, Maharashtra, India

• Morphed into different roles based on customers’ requirements (product architect, project management, developer).
• Collaborated with customers’ IT teams to build robust IT solutions across domains (healthcare, banking, finance).
• Designed and developed critical code pieces of large-scale systems that were optimized for performance.
• Inculcated a culture of code review, automation, testing and other best practices in teams.

Oct 2006 – Jun 2007 · 8 mos · Mumbai, Maharashtra, India

• Developed a novel object-based satellite image classification technique. (1 conference publication)
• Performed comprehensive literature reviews to establish baseline for the state of the art and gaps.
• Trained and fine-tuned ML models (Neural networks, Support Vector Machine). Integrated into a GIS product.

Nov 2005 – Sep 2006 · 10 mos · Lincolnshire, Illinois, United States

• Worked as a consultant on multiple client projects to create impactful solutions within tight time and resources constraints.
• Mostly focused on writing core backend business engines of the systems that directly impacted performance and scalability of the systems.

Feb 2004 – Nov 2005 · 1 yr 9 mos · Verona, Wisconsin, United States

• A member of Emergency Department’s IT team (10 members), deeply involved in product development, code reviews, requirements analysis, onsite support, team meetings organization, etc.
• Selected to a niche group of a cross product team, tasked to build next generation clinical documentation tools.
• Responsible for designing and developing reports by processing very large volumes of data.
• Interacted with patients and end-users during rollouts, transformed feedback into business requirements.

Apr 2003 – Jan 2004 · 9 mos · Chicago, Illinois, United States

• As an embedded programmer at EPAY (a startup), played multiple roles across many functions (requirements, design, development, testing, and deployment).
• Drastically reduced on-site hardware failures (by ~38%), resulting in significant cost savings, by developing an automated hardware test suite.
• Designed and implemented a wide range of features on the clock device, such as enabled wireless communication, integrated a new biometric fingerprint reader module, revamped UI for a better UX.
• With the backend team designed API end points and provided onsite technical and troubleshooting support services.