Nov 2023 – Jul 2024 · 8 mos · Remote · Remote

• Worked as instructor for teaching ML/DL courses for Scaler Students

Dec 2022 – Aug 2023 · 8 mos

• As a seasoned leader in the field of computer vision, I bring a wealth of experience and expertise to my role as the lead of a high-performing team. With a deep understanding of the challenges and opportunities involved in this field, I am responsible for driving innovation, guiding the team through all stages of the development process, and ensuring the successful delivery of high-quality solutions that exceed client expectations.
• From ideation to deployment, I work closely with my team to foster a culture of creativity and experimentation, empowering them to achieve their full potential and drive business growth
• Handling team of 15+ CV I,CV II engineers currently. across multiple Use Case Developments

Jan 2020 – Dec 2022 · 2 yrs 11 mos

• As the Machine Learning Team Lead at ByteLearn, I had the privilege of spearheading a groundbreaking project to build an AI-based tutor. This was an ambitious initiative that involved leveraging the latest advances in natural language processing (NLP) to enable sophisticated dialogue between the tutor and students.
• My work on this project encompassed a broad range of technical areas, including developing NLP-based response generation algorithms, designing models for problem understanding, and building sophisticated prediction models for categorization.
• One of the key challenges we faced in building the AI tutor was ensuring that it could handle a diverse range of student inputs, from straightforward questions to more complex problem statements. This required developing sophisticated algorithms for language modeling, as well as designing robust models for dialogue management and error handling.
• Through my leadership and technical expertise, we were able to successfully bring this AI tutor to life, providing students with an innovative and engaging new way to learn. I am proud to have been part of such a talented and committed team, and I look forward to continuing to explore the possibilities of AI and NLP in the years to come.

Feb 2017 – Jan 2020 · 2 yrs 11 mos · Gurugram, Haryana, India

• As a first hire in Machine Learning Team at JBM Group, I had the privilege of working on several exciting projects at the cutting edge of AI and industrial safety. One of my key contributions was developing a proof-of-concept for a large-scale video analytics system, which used machine learning algorithms to analyze video feeds from multiple cameras and detect anomalies in real-time.
• In addition, I also designed and implemented a manpower detection and safety system, using computer vision and machine learning algorithms to monitor worker behavior and ensure compliance with safety regulations. This system was complemented by a facial recognition system for attendance tracking, which streamlined HR processes and improved efficiency.
• One of my most rewarding projects at JBM Group was developing an industrial defect detection system for automotive parts. This involved using sophisticated anomaly detection techniques and image registration algorithms to identify defects in real-time video feeds from the production line. Through my efforts, we were able to significantly improve the efficiency and accuracy of defect detection, reducing waste and improving product quality.
• In addition to my technical contributions, I also had the opportunity to hire and lead a team of 6 talented engineers, working closely with the Chairman of the company to drive innovation and growth. I am proud to have played a key role in the company's success, and I am excited to see the startup - (http://third-eye.ai/) that was created out of our initial work continue to thrive in the years to come.

Feb 2016 – Feb 2017 · 1 yr · Gurugram, Haryana, India

• Worked on building ML model developments