• Provided broad-based functional and leadership expertise, collaborated with the CTO and senior executives to develop integrated enterprise and IT strategies that leverage technology as a key business driver.• Led key AI and ML based IT projects—such as an end-to-end automated platform for information extraction from documents; Dialogflow chatbot to support end users and perform business transactions; online video conferencing system—that sealed a large customer contract and reduced operations costs significantly.• Optimized cloud infrastructure, in alignment with business needs, resulting in reduction of costs by 18%. • Played a pivotal role in establishing and managing off-shore business office and development center in India.• Managed and negotiated IT and business system contracts and orchestrated strategic partnerships.• Collaborated with unit heads to develop IT budget, hire for leadership positions, maximize resource utilization.• Hands-on experience in developing core AI, ML, NLP components of the system with Python, TensorFlow, PyTorch, spaCy, AllenNLP, GCP, etc.

• Led a team of data scientists and engineers to develop large-scale products based on ML and NLP. This included a complex decisioning system that reduced false positive rate by 7% and processing time by 30%.• Efficiently managed the two-software development lifecycles—AI model and AI application development.• Spear-headed the company’s transformation by adoption of automation, AI and ML technologies that resulted in creation of additional business value through a suite of new products around “Smart Data”.• Partnered with senior executives and other team leads to create a “Data Culture” across the organization (data driven organization).• Analyzed the competitive landscape to understand gaps and recommend products/services for integration.• Developed and implemented key-components of the systems. Development environment: Java, Python, Spring, MySQL, spaCy, AllenNLP, Microservices, Git, AWS, etc.

• Led a team of 4 scholars to create intellectual property and innovative solutions to challenging business problems.• Strategically and operationally coordinated with evangelists, customers, research and solutions teams to identify business problems, co-create proof-of-concept solutions, transform and integrate into mainstream solutions.• Engaged with the unit head to develop budgets for research, capex, training, IP creation and conference travels.• Adopted state-of-the-art human cognition research; AI, ML, deep learning and NLP; very large datasets and ontology (WordNet) to build solutions for urban growth characterization and disaster assessment for a large insurance player, based on remote sensing (aerial drone images and videos). (1 patent and 5 publications)• Institutionalized and disseminated knowledge to the wider business, scientific and knowledge community.

• Developed a comprehensive experimental study to analyze matrix factorization algorithms, deterministic and probabilistic, for collaborative filtering-based recommendation systems. (1 journal publication)• Led a team of 4 to implement current research, proof-of-concepts, large-scale automated invoice processing systems and solutions to OCR, document distortion problems and multi-threaded Bayesian systems.• Prepared research plans for the team that aligned with the lab vision. Designed performance evaluation metrics.• Contributed to other research teams’ objectives of improvising registration accuracy of brain CT and MRI images.• Instituted a bi-weekly journal club to promote collaboration, broadening of knowledge horizons, etc.

• 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.

• 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.

• 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.

• 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.

• 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.