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AI Engineer with 7+ years in Computer Vision & Deep Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML Engineer with 7+ years of experience developing, optimizing, and deploying production-grade AI solutions across Computer Vision, OCR Systems, Deep Learning, and Edge AI environments. Strong expertise in building scalable machine learning pipelines, model optimization, production deployments, and enterprise AI applications. Experienced in deploying AI solutions across logistics and supply chain domains while collaborating with cross-functional teams and customers across India and US markets. Skilled in translating business problems into production-ready AI systems and continuously improving model performance and operational efficiency.
VEDA IIT
Employee Training
July 1, 2018 – January 1, 2019
ISB
Technology Entrepreneurship Program
August 1, 2016 – June 30, 2018
Sree Vidyanikethan Engineering College
Bachelor's Degree
August 1, 2014 – June 30, 2018
ATAI LABS Pvt Ltd
CUSTOMER DELIVERY LEAD / AI ENGINEER
October 1, 2025 – Present
India
ATAI LABS Pvt Ltd
SENIOR ENGINEER – AI COMPUTER VISION
August 1, 2024 – October 1, 2025
India
ATAI LABS Pvt Ltd
ENGINEER 2
April 1, 2023 – August 1, 2024
India
ATAI LABS Pvt Ltd
ENGINEER 1 – COMPUTER VISION
April 1, 2020 – April 1, 2023
India
SoCtronics Technologies Pvt Ltd
ENGINEER TRAINEE
January 1, 2019 – April 1, 2020
India
Cultural Fit Analysis
The candidate has consistently worked at ATAI LABS Pvt Ltd for a significant portion of their career, demonstrating loyalty and growth within a single organization. Their experience spans various aspects of AI engineering, from core development to customer delivery, indicating adaptability and a broad skill set. The focus on real-world applications in logistics and supply chain, coupled with experience in both Indian and US markets, suggests a practical, business-oriented mindset. The Technology Entrepreneurship Program also indicates an interest in innovation and problem-solving, which aligns well with a dynamic AI engineering environment.
Soft Skills & Operational Fit
The candidate's resume highlights experience in customer delivery, project planning, and technical leadership, indicating strong operational and soft skills relevant for a senior role. Their involvement in optimizing model performance, managing deployment activities, and ensuring SLA compliance suggests a practical, results-oriented approach. Collaboration with engineering and customer teams also points to good teamwork and communication abilities.