Help & Supportcareers@gravityer.com
Building in GenAI space | Founding Engineer @Adopt.ai | Ex-TechLead @HCLTech | M.Tech. AI - NIT Jalandhar
AI is analyzing your overall score…
Identifying your key strengths…
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.