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AI/ML R&D Leader | Driving Innovation in Generative AI, LLMs & Explainable AI | Strategic Visionary & Patent Innovator | Bridging AI Research with Business Impact
PROFILE SUMMARY Visionary R&D Leader with 17+ years (13+ years in Industry and 4+Years in PhD research) of proven expertise in Artificial Intelligence, Machine Learning, and Generative AI, consistently driving enterprise-grade innovations and transforming research into business-aligned solutions for Fortune 500 companies. Please Download Resume from: https://www.nirajai.com/home/about-me Recognized authority in bridging research and business strategy, ensuring advanced AI/ML initiatives directly enhance enterprise competitiveness, product differentiation, and long-term growth. Strategic Innovator credited with 14+ patents (granted/filed) and 20+ peer-reviewed publications across AI/ML, Generative AI, Conversational AI, Time-Series Forecasting, Security, Healthcare, and HR Tech domains. Adept at scaling and leading global, high-performing research teams, nurturing talent, and fostering a culture of innovation, collaboration, and technical excellence. Deep expertise in cutting-edge AI research areas including Generative AI, LLMs, Agentic AI, Spatiotemporal Forecasting, Causal Learning, and Explainable/Trustworthy AI, with successful track record of converting ideas into real-world deployments. Strong background in enterprise productization of AI research, from proof-of-concept to large-scale deployments, ensuring alignment with IP strategy, business goals, and regulatory compliance. Accomplished in cross-domain R&D leadership spanning Generative AI, Conversational AI, Commercial NLP, Telecom (5G/IoT), Healthcare, Smart Infrastructure, and HR Tech—bringing a unique ability to translate AI solutions into diverse industries. Trusted advisor and collaborator with executive leadership, product owners, and engineering stakeholders; skilled in driving research roadmaps, evaluating emerging tec
International Institute of Information Technology Hyderabad (IIITH)
Doctor of Philosophy (PhD), Computer Science
June 1, 2009 – July 1, 2015
Indira Gandhi National Open University, Delhi
MCA, Computer Science
January 1, 2002 – June 1, 2004
Indira Gandhi National Open University
BCA, Computer Science
January 1, 1999 – January 1, 2002
Fujitsu Research of India Pvt Ltd.
Senior Research Manager
April 1, 2026 – Present
Fujitsu Research of India Pvt Ltd.
Research Manager AI
April 1, 2022 – March 1, 2026
Samsung Electronics
Senior Chief Engineer II & Manager
May 1, 2020 – April 1, 2022
Bengaluru, Karnataka, India
Conduent
SCIENTIST III, (Senior Scientist)
April 1, 2018 – May 1, 2020
India
Phenom People
Senior Machine Learning Scientist
December 1, 2016 – February 1, 2018
Greater Hyderabad Area
Department of Computer Science, University of California (Davis)
Post-doctoral Researcher
September 1, 2015 – September 1, 2016
Davis
TCS Innovation Lab
Research Professional
May 1, 2013 – August 1, 2015
Gurgaon
IBM IRL
Research Intern
May 1, 2012 – July 1, 2012
Bangalore, India
IIIT Hyderabad
Research Assistant
August 1, 2006 – August 1, 2011
Greater Hyderabad Area
GATE (Graduate Aptitude Test in Engineering) qualified
National Coordination Board – GATE, Department of Higher Education, Ministry of Human Resources Development (MHRD), Government of India.
June 24, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a research-intensive AI Engineer role, given their background in research labs (Fujitsu, Samsung, Conduent, Phenom People, TCS Innovation Lab, IBM IRL, UC Davis, IIIT Hyderabad). Their consistent focus on cutting-edge AI technologies, patenting, and publishing aligns well with an innovative and growth-oriented environment. The diversity of projects and applications (from RCA pipelines to storm tracking and gene expression) indicates adaptability and a broad interest in applying AI to various challenges.
Soft Skills & Operational Fit
The candidate's extensive experience in leading research teams and driving innovation suggests strong problem-solving, strategic thinking, and leadership skills. Their numerous publications and patents indicate a proactive and results-oriented approach. The descriptions of collaborating with cross-functional teams imply good teamwork and communication, though direct assessment of these soft skills is limited without interview data.