AI Consultant (Principal AI Engineer) with 10+ years in AI Governance, Prompt Engineering & Data Ana
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Results-driven Al consultant specializing in Al Management Systems (AIMS), with a strong focus on data analytics and prompt engineering within a structured governance framework. Experienced in translating complex business requirements into risk-informed, compliant, and auditable Al solutions, aligned with organizational Al policies and lifecycle controls.
RajaRajeswari Engineering College (Affiliated Anna university)
Bachelor of Engineering · Mechanical Engineering
August 1, 2006 – June 30, 2010
HCL Tech
SENIOR TECHNICAL LEAD (AI GOVERNANCE)
March 1, 2019 – Present
Chennai, Tamil Nadu, India
HCL Tech
Technical Lead
March 1, 2019 – Present
Chennai, Tamil Nadu, India
HCL Tech
Lead Engineer (Data Analytics & AI)
March 1, 2019 – Present
Chennai, Tamil Nadu, India
HCL Tech
Lead Engineer (Metrics & Data Visualization)
March 1, 2019 – Present
Chennai, Tamil Nadu, India
TCS (Dptd. by Team ware solutions)
Senior Design Engineer
July 1, 2016 – February 1, 2019
Bengaluru, Karnataka, India
Oil Well Middle East
Design Engineer
July 1, 2014 – May 1, 2016
Sharjah, Sharjah Emirate, United Arab Emirates
ELEGANZ INTERIORS PVT. LTD
Auto CAD Engineer
September 1, 2013 – January 1, 2014
Bengaluru, Karnataka, India
CADD CENTER INDIA PVT LTD
CAD Engineer
July 1, 2012 – August 1, 2013
Bengaluru, Karnataka, India
Idac Tooling Technology Pvt. Ltd
Draftsman
July 1, 2011 – July 1, 2012
Cochin, Kerala, India
ISO 42001:2023 aims
Unknown
May 1, 2026 – Present
NLP
Unknown
May 1, 2026 – Present
Gen AI for Executive and Business Leaders
Unknown
May 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across multiple industries (finance, healthcare, retail) demonstrates adaptability and a broad understanding of AI applications in various business contexts. Their strong emphasis on AI governance, ethical AI, and compliance aligns well with responsible innovation, which is a critical aspect of modern corporate culture. Leadership in mentoring teams and fostering knowledge sharing indicates a collaborative and growth-oriented mindset. The focus on measurable improvements and ROI analysis suggests a results-driven approach.
Soft Skills & Operational Fit
The candidate exhibits strong strategic leadership and decision-making capabilities in AI initiatives. They demonstrate excellent collaboration skills, working effectively with diverse stakeholders including clients, medical experts, and regulatory bodies. Proven ability to mentor and manage cross-functional teams of data scientists, engineers, and product managers. Operational strengths include proficiency in risk assessment, feasibility studies, project lifecycle management, and a commitment to ethical AI principles, transparency, and accountability through documentation and version control.