AI Engineer @Wipro | Mtech NIT-B | LLMs | AI | DL | ML
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Maulana Azad National Institute of Technology
Masters of technology, Artificial Intelligence
September 1, 2021 – September 1, 2023
Oriental Institute of Science & Technology
BE - Bachelor of Engineering, Mechanical Engineering
January 1, 2015 – January 1, 2019
Wipro
AI Engineer
July 1, 2025 – Present
Pune District, Maharashtra, India · Hybrid
Bosch Global Software Technologies
Senior Software Developer
July 1, 2023 – April 1, 2025
Bengaluru, Karnataka, India · Hybrid
Bosch Global Software Technologies
Intern
July 1, 2022 – May 1, 2023
Bangalore
Maulana Azad National Institute of Technology
Research Scholar
September 1, 2021 – May 1, 2023
Bhopal, Madhya Pradesh, India
Weichai Power (SHIG India)
Application Engineer
June 1, 2019 – August 1, 2021
Pune, Maharashtra, India
Go-kart
December 1, 2017 – March 1, 2018
Complete design and manufacturing of Go-kart (a suspension less racing car), competed with 54 teams in IGC at LPU, got the 'owerall champions' title. The design included: Chassis design in CATIA, impact testing simulation using CAE software Ansys. Designing the transmission system and achieving the optimum torque and speed. Desingning the steering system. Designing the breaking system including heat generation simulation at the break disc.
Introduction to Machine Learning
Coursera
June 25, 2026 – Present
vocational training
Bharat Heavy Electricals Limited
June 25, 2026 – Present
Creo
Udemy
June 25, 2026 – Present
CAD using CATIA V5 R20
Central Institute of Petrochemicals Engineering & Technology (CIPET)
June 25, 2026 – Present
Neural Networks and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
DeepLearning.AI
June 25, 2026 – Present
Visualizing Filters of a CNN using TensorFlow
Coursera
June 25, 2026 – Present
CAD using Autocad
Central Institute of Petrochemicals Engineering & Technology (CIPET)
June 25, 2026 – Present
Build AI Agents and Chatbots with LangGraph
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's background shows a significant pivot from Mechanical Engineering to Artificial Intelligence, indicating adaptability and a strong drive for learning new domains. The 'Go-kart' project highlights a hands-on, results-oriented approach. The experience as a Research Scholar and multiple certifications in AI/ML suggest a continuous learning mindset. However, the project descriptions lack detail on collaborative aspects or specific contributions to team-based ML projects, making it challenging to fully assess cultural fit in a collaborative ML engineering environment.
Soft Skills & Operational Fit
The candidate's project experience (Go-kart) suggests strong problem-solving, design, and execution skills. The diverse educational background (Mechanical Engineering to AI) indicates adaptability and a strong learning curve. However, without specific psychometric test results or interview data, it's difficult to assess communication, teamwork, and stress handling directly. The transition from mechanical engineering to AI demonstrates a proactive approach to skill development.