AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Head of the Department - CSE, R&D Director at Pallavi Engineering College
Feb 2023: CEO at FREE, Imagine, Innovate and Inspire 108 Patents/Disclosures https://youtu.be/W3dktKy7uk4T Collaboration WITH III, EssenSai, IACTS, Acharya, REVA, AMTZ, SSSIHL, HCU, IITH, IISER Hyd, ICFAI Hyd, Niti Ayog, Atal Incubation Center, USW, Stanford, Karkinos Healthcare Jan 2023: Mentor at IFHE Innovation and Entrepreneurship Council, ICFAI Business School Mentor at REVA RACE Academy Dec 2022: I have been officially selected as an ATL Mentor of Change. This programme is NITI Aayog's endeavor to foster innovation & entrepreneurship in schools & society at large. (More details: https://www.linkedin.com/company/atal-innovation-mission-official/). Top 2 Achievements 2020 1. Represented Ericsson India at University of California Berkeley, RISELab Winter Retreat 2020. 2. Top 40 data scientists under 40 in India (2020) award by Analytics India Magazine About ME: 1. PhD in Computer Vision from SSSIHL 2. Around 14 yrs experience in b th Academia and Industry, 3. Worked on AI/CV/DL algorithms for Defense, Healthcare, Telecom, Indus- trial IoT and Renewable domain data. 4. Hands on experience working with Computer Vision(video and image), Natura language Processing(text), Temporal(time-Series), Sensor(numerical) and noisy imbalanced data. 5. Strong Research aptitude (35 Publications and 108 Patents/Disclosures) 6. Strong Practical Experience (35 Honors/Awards and 28 Technical Talks) 7. Strengths: Identifying gaps, Landscape and Positioning of a work from a big picture 8. Self motivated, driven with strong interpersonal and communication skills Team Player, Never Give up and Leadership Qualities 9. Mentored interns who were Masters, PhD students from IIIT Bangalore and SSSIHL. 10. Areas of Interest: Artificial Intelligence, Computer Vision, Deep Learning, Machine Learning, Video Analytics, Local Descriptors, Fuzzy Aggregation Operators
Sri Sathya Sai Institute of Higher Learning
Doctor of Philosophy (Ph.D), Computer Vision
July 1, 2010 – Present
Sri Sathya Sai Institute of Higher Learning
Master of Technology (M.Tech.), Computer Science - Gold Medallist
N/A – Present
Sri Sathya Sai Institute of Higher Learning
Master of Science, Mathematics with Specialization in Computer Science - Gold Medallist
N/A – Present
Pallavi Engineering College
Head of the Department - CSE and R&D Director
October 1, 2023 – Present
Hyderabad · On-site
Atal incubation center, AIC-SKU Confederation,
Mentor Catalyst
March 1, 2023 – October 1, 2025
Anantapur, Andhra Pradesh, India · Hybrid
CoffeeMug.ai
Mentor for Growth
March 1, 2023 – October 1, 2025
New Delhi, Delhi, India · Hybrid
I2i (information to InSAIghts)
Founder and CEO - Research and Innovation
January 1, 2023 – December 1, 2023
Bengaluru, Karnataka, India · On-site
FREE
Chief Executive Officer
December 1, 2022 – December 1, 2023
Bengaluru, Karnataka, India · On-site
Maestro Technologies, Inc.
Innovator
December 1, 2022 – October 1, 2023
New Jersey, United States · Remote
REVA Academy for Corporate Excellence - RACE
Teaching Faculty
January 1, 2021 – December 1, 2023
Yelahanka · Hybrid
SAP Labs India
Research Expert
January 1, 2021 – December 1, 2022
Bengaluru, Karnataka, India
IEEE
Senior Member
October 1, 2020 – November 1, 2020
Freelance
Thought Leadership - Technical Speaker
January 1, 2020 – December 1, 2022
Bangalore Urban, Karnataka, India
Ericsson
Senior Data Scientist at Ericsson Global AI Accelerator
September 1, 2019 – January 1, 2021
Bengaluru Area, India
GE Research
Research Scientist, AI
January 1, 2017 – September 1, 2019
Bengaluru, Karnataka, India
Sri Sathya Sai Institute of Higher Learning
Teaching Assistant
June 1, 2016 – November 1, 2016
Sri Sathya Sai Institute of Higher Learning
Research And Teaching Assistant
June 1, 2014 – November 1, 2014
Indian Institute of Technology, Madras
Summer Research Student
April 1, 2013 – May 1, 2013
Chennai, Tamil Nadu, India
Indian Institute of Technology, Hyderabad
Summer Research Student
April 1, 2011 – May 1, 2011
Hyderabad, Telangana, India
Sri Sathya Sai Institute of Higher Learning
Visiting Professor
July 1, 2010 – December 1, 2023
Sri Sathya Sai Institute of Higher Learning
Senior Inspire Fellow, INSPIRE Programme, DST, Govt of India
June 1, 2010 – May 1, 2016
Sri Sathya Sai Institute of Higher Learning
Post Graduate Student Researcher - Computer Vision
June 1, 2009 – May 1, 2010
Industry, Academia and Society driven Workshops and Conferences
Technical Speaker
May 1, 2008 – December 1, 2019
Sri Sathya Sai Institute of Higher Learning
Post Graduate Student Researcher - Fuzzy Logic
June 1, 2007 – May 1, 2009
Indian Institute of Science (IISc)
Summer Internship
April 1, 2007 – May 1, 2007
Bangalore
Senior Member
IEEE
June 23, 2026 – Present
Lead innovation for Great Results
SAP Labs India
June 23, 2026 – Present
Applied Data Science Camp - Mentor 2020
Ericsson
June 23, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily skewed towards research, academia, and AI/ML innovation, with a strong emphasis on thought leadership and mentorship. While these are valuable, the direct alignment with a 'Data Analyst' role, which typically focuses on data extraction, transformation, visualization, and reporting, is not a perfect fit. Their experience is more aligned with Data Scientist, ML Engineer, or AI Researcher roles. The breadth of their engagements (startups, academia, large corporations) suggests an ability to adapt to different environments, but the core focus is less on traditional data analysis and more on advanced AI/ML applications.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, mentorship, and communication skills through various teaching and speaking engagements. Their extensive research and innovation background suggests a proactive and problem-solving approach. The diverse roles indicate adaptability and a collaborative spirit, though direct operational experience in a pure data analyst role is less explicit.