
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
तस्य विषभयं नास्ति सर्वत्र विजयी भवेत्॥ | AI Research | STEM | PhD Carnegie Mellon University | IIT Madras
I am the CEO/Founder of HAL51.AI. I have lead a journeyman’s life in Tech that’s spanned four phases: I: 2004-2010: Hardware, Automation & PHY-layer Wi-Comm: Wrote Verilog, VHDL, Assembly and defended a Master’s thesis at IIT-Madras on Channel estimation in OFDM systems II: 2010-2016: Network Science, Complex systems & Information Theory: Fell in love with graph theory and defended a PhD thesis on Network Aided Classification at Carnegie Mellon III: 2016-2023: ML, Healthcare & kinematics:a) Medicare Part-D fraud analysis, Probabilistic drug drug interaction and longitudinal cohort analysis for geriatric care) Human kinematics modeling using IMU sensors. Ran an AI fellowship as the Chief Scientist at UnifyID ($23M raised from a16z+NEA & exited in 2022) IV: 2023- Present: CEO'ing at a STEM-EdTech startup. LLM powered co-pilots in real-world production, Guard-railing, Red Teaming, 3D computer vision, AI-safety and all that jazz! Super bullish on the India-AI story Launching something real big real soon ;) Google scholar: https://scholar.google.com/citations?user=5Lck_J0AAAAJ (Nov '25): Citations ~4200, h-index: 13 and i10-index:17
Carnegie Mellon University
Doctor of Philosophy (Ph.D.), Electrical and Computer Engineering
September 1, 2010 – May 1, 2015
Universidade do Porto
Doctor of Philosophy - PhD, Computer Science
September 1, 2010 – May 1, 2015
Indian Institute of Technology, Madras
Master of Science (MS), Electrical Engineering
September 1, 2005 – September 1, 2007
B. M. S. College of Engineering
Bachelor of Engineering (B.E.), Electronics and Communications
January 1, 2001 – January 1, 2005
Emergent Mind
Advisor
October 1, 2025 – Present
Remote
HAL51.AI
CEO/Founder
April 1, 2023 – Present
San Francisco Bay Area · On-site
UnifyID
Principal Machine Learning Scientist
April 1, 2016 – April 1, 2023
San Francisco Bay Area · On-site
Albeado
Data Scientist - Healthcare
June 1, 2015 – March 1, 2016
Sunnyvale, CA · On-site
Carnegie Mellon University
ICTI Dual PhD (ECE + CS)
September 1, 2010 – May 1, 2015
Greater Pittsburgh Region
Instituto de Telecomunicações
Research Engineer
October 1, 2009 – September 1, 2010
University of Patras
Wireless Telecommunications Research Scientist
December 1, 2008 – October 1, 2009
Patras, Western Greece, Greece · On-site
Council for Scientific and Industrial Research (CSIR)
Project Officer, Telecommunications and Computer Networking Group
September 1, 2007 – November 1, 2008
Chennai, Tamil Nadu, India · On-site
Cultural Fit Analysis
The candidate's diverse background, spanning academic research, startup leadership, and roles in established tech companies, suggests adaptability. Their involvement in mentoring and founding a company indicates a proactive and innovative mindset. However, the target role of 'Data Analyst' might be a step down from their 'Principal Machine Learning Scientist' and 'CEO/Founder' roles, potentially leading to a mismatch in expectations or underutilization of their advanced skills. The breadth of their experience is significant, but the direct alignment with a pure 'Data Analyst' role, which often focuses on reporting and dashboarding, is not explicitly clear from the provided project descriptions, which lean more towards advanced ML/AI research and data science.
Soft Skills & Operational Fit
The candidate's entrepreneurial background and experience mentoring researchers suggest strong leadership, initiative, and a capacity for innovation. Their extensive academic and research history indicates strong analytical and problem-solving skills. However, without specific psychometric or English test results, a detailed assessment of communication clarity, work attitude, stress handling, and team collaboration is not possible. The descriptions of past roles are technically detailed but do not explicitly highlight collaborative achievements or project management methodologies.