Jun 2024 – Sep 2024 · 3 mos · Kolkata, West Bengal, India · On-site

•  Maintained client communication for ongoing projects, prepared proposals, and planned
• project timelines.
• Led end-to-end implementation of Vision AI projects—including data capture, cleaning, annotation,
• and team management—for solutions like Conveyor Belt Monitoring, Anti-Collision Detection, Anode
• Counting, and Center Line Detection, ensuring high data accuracy and optimal model performance.
• Collaborated with cross-functional stakeholders, including business leaders, data scientists, and
• technical teams, to gather and define business requirements for AI and computer vision- based
• industrial safety solutions deployed at sites like TATA Steel, Jindal Steel, and BALCO.
• Acted as a liaison between on-site engineering teams and backend developers by translating
• complex industrial processes into clear, actionable tasks and implementation plans.
• Participated in the end-to-end planning, scoping, and prioritization of AI-driven projects such as
• Conveyor Belt Sway Monitoring and Anti-Collision Systems, ensuring alignment with client safety goals
• and operational strategies.
• Collaborated closely with AI developers and data scientists in data collection, annotation, and model
• fine-tuning to ensure that image recognition systems met safety compliance standards and delivered
• high accuracy.
• Facilitated rigorous on-site testing and validation of Vision AI applications, ensuring solutions met
• specified requirements and produced reliable, real-time alerts.
• Contributed to the creation and standardization of SOPs for system deployment,
• troubleshooting, and maintenance to ensure operational consistency across multiple client
• locations.

Jul 2023 – May 2024 · 10 mos · Kolkata, West Bengal, India · On-site

• Successfully executed on-site implementation of Vision AI projects for leading clients,
• including TATA Steel, Jindal Steel, and BALCO, by designing and developing comprehensive
• CCTV camera network diagrams using fiber optic (FO) cables and switches. Guided the
• technical team through the setup process and configured systems by installing essential
• tools such as Python and MySQL Workbench, while optimizing GPU-based machines for
• enhanced performance.
• Deployed code into production systems post-setup, delivering real-time results to clients
• and ensuring project success and client satisfaction. Optimized and fine-tuned models
• to achieve the best possible accuracy and performance.
• Conducted data collection, sorting, and annotation to support AI model development
• and optimization, including collecting data and retraining models to achieve highly
• accurate outputs. Additionally, visited manufacturing plants to address software and
• networking-related issues, ensuring seamless operations and system efficiency.
• Successfully developed and implemented robust Conveyor Belt Sway Monitoring and Anti-
• Collision Systems using Image recognition and video analysis models, Python-based real-
• time monitoring logic, and automated alert mechanisms, ensuring seamless operations
• and safety compliance at TATA Steel, JSW Steel, and Vedanta plants..

Jul 2022 – Mar 2023 · 8 mos · Pune, Maharashtra, India

• Collaborated on the project "Sentiment Analysis of Persistent Systems Employee Reviews",
• involving web scraping data from platforms such as Glassdoor and Ambition Box. Performed data
• cleaning, data pre-processing, feature engineering, refining, stop-word removal, and prepared
• structured datasets using NLP techniques. Applied and evaluated multiple machine learning
• models to identify the best-performing model for accurate sentiment analysis.
• Worked closely with AI developers and data scientists on the “Sentiment Analysis of Persistent Systems
• Employee Reviews” project, aligning model objectives with client and business goals. Responsibilities
• included web scraping from Glassdoor and Ambition Box, performing data cleaning, preprocessing,
• feature engineering, and applying NLP techniques to prepare structured datasets.
• Evaluated and compared multiple machine learning models to select the best-performing one for
• accurate sentiment classification, demonstrating strong analytical and data interpretation skills.
• Developed hands-on knowledge of AI and machine learning concepts, including Reinforcement
• Learning and deep learning deployment strategies, with practical experience in optimizing model
• performance for real-world scalability.
• Demonstrated excellent communication and client management skills through formal training and project
• presentations, effectively bridging technical concepts for non-technical stakeholders.
• Familiar with data analysis and visualization using Python and NLP libraries, and capable of applying AI
• solutions to practical domains such as supply chain feedback analysis and employee sentiment tracking.
• Possess strong problem-solving and critical thinking abilities, with the capacity to translate data- driven
• insights into actionable strategies that support business objectives.

Feb 2022 – Jul 2022 · 5 mos · Pune, Maharashtra, India