Help & Supportcareers@gravityer.com
Production Engineer II with 3+ years in Production & Automation
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
To secure a challenging position that utilizes my years of experience, while allowing me the opportunity to grow professionally. I have expertise in Shift Handling, Man Power Handling, Production Planning, Process Improvement, TPM, 5'S', Safety, Line Balancing, Red Bin analysis & control, OEE & Time Study. I am proficient in managing automation lines with Yaskawa and Panasonic Robots, including programming and troubleshooting. My experience also includes defect analysis, quality control, training new operators, and implementing continuous improvement methodologies like KAIZEN and POKA-YOKE.
SBTE
DIPLOMA
August 1, 2022 – June 30, 2022
BSEB BOARD
10TH
June 1, 2019 – May 31, 2019
Autocomp Corporation Panse Pvt. Ltd.
Jr. Engineer
October 1, 2025 – Present
India
KRISHNA MARUTI Limited
Operator Engineer Training (OET)
September 5, 2022 – September 19, 2025
India
Cultural Fit Analysis
The candidate's experience is highly specialized in automotive manufacturing production, specifically weld shops. This indicates a strong fit for organizations within similar industrial sectors that value structured production processes, continuous improvement methodologies (TPM, KAIZEN, 5S), and hands-on technical problem-solving with robotics. The focus on process adherence and quality control aligns with cultures prioritizing efficiency and defect reduction. The lack of diverse project experience outside of this specific domain might limit fit for roles requiring broader engineering exposure or different industry contexts.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit for a Production Engineer role, particularly in manufacturing environments with automation. Soft skills like team building, positive attitude, decision-making, and self-motivation are explicitly stated, which are crucial for managing production shifts and teams. The experience in training new operators also highlights leadership and mentorship potential.