Kalpesh Anil Dahake

Leading an AI team managing an AI Automobile project in "Manufacturing Operation" department, ensuring successful delivery within timelines. Worked with GPT-4 Turbo, GPT-4o, Gemini 1.5 Pro, and Gemini 1.5 Flash for various AI tasks. Utilized SDXL LoRA for vision related projects, including image analysis and car plant layout generation. Deployed and managed AI models using Docker for scalable and efficient execution. Developed & Deployed multiple chatbots: Talk to Doc Chatbot, Talk to DB Chatbot, Contextual Understanding Chatbot. Applied ML for prediction & classification tasks. Built Data Anonymizer model by using GPT-4o & LLM-Guard. Built a Text to SQL chatbot for query generation. Gained expertise in Agentic AI concepts and applications.

Develop and implement AI algorithms and models to solve complex problems. Research and analyze data to identify trends and patterns. Design and develop machine learning models. Develop and maintain AI-based databases. Analysed and improved the performance of a GPT-3.5 powered chatbot by indentifying and resolving bias in its responses. Collaborated with a team of engineers to build and deploy a production-ready chatbot using GPT-4.

Engage directly with customers to participate in design and development of solution according to functional requirements. Perform debugging, troubleshooting, modifications and unit testing of integration solutions. Support, monitor, execute production application jobs and processes. Participate in the development of documentation, technical procedures and user support guides. Designing and building advanced NLP models, algorithms, and systems that can process, understand, and generate human language with high accuracy and efficiency. Documenting all phases of the NLP development process, including design decisions, methodologies, and result to ensure knowledge sharing and maintain high-quality standards.

Evaluating the functional and non-functional requirements for testability and the test cases and use cases for suitability for automation. Developing, coding and executing test case and test script frameworks using automated tools such as Rational Functional Tester and other Rational suite tools. Experience with performance monitoring tools and visualizations. Ability to multi-task and test different applications necessary for a release with a proven ability to work under pressure and deliver within tight deadlines. Design, development, and enhancement of chatbot solutions, integrating NLP techniques and actively participating in testing and debugging processes for improved user experiences.

Python application development, testing, and maintenance. Work with other developers, designers, and stakeholders to satisfy project needs. Troubleshooting and code debugging. Developing and maintaining code and application documentation. Participating in code reviews and contributing to best practices for the team. Maintaining current knowledge of emerging technologies, programming languages, and software development techniques. Applied NLP techniques and analysed text data, including sentimental analysis, named entity recognition, topic modelling and text categorization.

Worked as a Project Engineer Intern under Automation Department. Assisted in automation projects and contributed to engineering tasks.