
Building in GenAI space | Founding Engineer @Adopt.ai | Ex-TechLead @HCLTech | M.Tech. AI - NIT Jalandhar
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Contributed in Deep Learning via patent [deployed the whole process] and publication. My current efforts are in building a product with Adopt AI, where as an AI Engineer, the main focus lies on transforming UI to AX with providing better reliability on agents.
Dr B R Ambedkar National Institute of Technology, Jalandhar
Master of Technology - MTech, Artificial Intelligence
September 1, 2021 – July 1, 2023
SRM University Sonepat, Haryana
Bachelor of Technology, Computer Science (Gold Medalist)
January 1, 2017 – January 1, 2021
Adopt AI
Founding Engineer
April 1, 2025 – Present
Bengaluru · On-site
HCLTech
Technical Lead
October 1, 2023 – February 1, 2025
Chennai, Tamil Nadu, India · On-site
Metapix
AI Fellow
March 1, 2023 – July 1, 2023
Proxgy
AI and ML intern
April 1, 2022 – June 1, 2022
Gurugram, Haryana, India
SkyScout Group
Computer Vision Engineer (Intern)
July 1, 2021 – January 1, 2022
Ljubljana, Slovenia
Kyrion Technologies
Machine Learning Trainee
June 1, 2019 – July 1, 2019
Delhi Area, India
3D Vision Summer School trainee
International Institute of Information Technology Hyderabad (IIIT Hyderabad)
June 25, 2026 – Present
Software Engineering Virtual Experience
JPMorganChase
June 25, 2026 – Present
Machine Learning with Python
IBM
June 25, 2026 – Present
Machine Learning A-Z: Hands on python and R in Data Science
Udemy
June 25, 2026 – Present
Machine Learning and Deep Learning
HPE Education HK
June 25, 2026 – Present
Cultural Fit Analysis
The candidate has a diverse background spanning startups (Adopt AI, Metapix, Proxgy, SkyScout Group) and larger enterprises (HCLTech), indicating adaptability to different organizational cultures. The focus on innovation and R&D in previous roles aligns well with a dynamic ML engineering environment. However, the lack of explicit project details beyond job descriptions makes it challenging to fully assess the breadth of their collaborative and initiative-taking aspects.
Soft Skills & Operational Fit
The candidate's experience as a 'Founding Engineer' and 'Technical Lead' suggests strong leadership, problem-solving, and collaboration skills. The descriptions of contributing to product building and collaborating with frontend teams indicate an operational fit for cross-functional environments. However, without specific psychometric test results, a detailed assessment of work attitude, stress handling, and team collaboration is limited.