- Designed and implemented end-to-end machine learning pipelines using frameworks such as TensorFlow and PyTorch, resulting in significant performance improvements and actionable insights.- Developed and deployed advanced regression, classification, and clustering models to extract valuable insights from large datasets, driving strategic business decisions.- Utilised transformer-based architectures like phi3 and Gemini 1.0 to build and fine-tune large language models (LLMs) for various applications, including text generation, summarisation, and sentiment analysis.- Integrated LLMs with RESTful APIs to deliver intelligent features in real-time applications, enhancing user engagement and experience.- Collaborated with cross-functional teams to identify and implement use cases for machine learning, ranging from predictive analytics to recommendation systems.- Employed deep learning techniques for image and speech recognition projects, improving accuracy and reliability of automated systems.- Implemented data preprocessing and feature engineering techniques to ensure high-quality input data for machine learning models.- Conducted hyper-parameter tuning and model optimisation to enhance model performance and reduce computational costs.- Mentored junior data scientists and engineers on best practices in machine learning, model evaluation, and deployment strategies.

- Collaborated with cross-functional teams to design and implement robust backend architectures that met business objectives.- Developed scalable RESTful APIs, microservices, and serverless functions to support the company's applications.- Optimized database performance, implemented indexing strategies, and ensured data integrity.- Implemented rigorous security measures, including encryption and authentication protocols.- Mentored junior developers, conducted code reviews, and promoted best practices in software development.- Spearheaded the migration of legacy systems to modern tech stacks, resulting in a 30% improvement in application speed and reliability.- Led a team that delivered a critical project on time and within budget, generating additional revenue for the company.- Implemented a monitoring and alerting system that reduced downtime by 20% and enhanced system stability.

KreditBee, operates as a leading fintech company in India, and it includes Digitap.ai as one of its subsidiary companies, specialising in cutting-edge AI solutions, while KreditBee provides digital lending and credit services to young professionals and students.- Developed and deployed machine learning models that improved business processes and decision-making.- Collaborated with cross-functional teams to gather, preprocess, and analyse data, uncovering valuable insights.- Designed and implemented deep learning models for computer vision, NLP, and recommendation systems.- Conducted A/B tests and data-driven experiments to optimise model performance and accuracy.Automated data pipelines and workflows, resulting in a 40% reduction in data processing time.

Way for Life is a nonprofit organisation committed to fostering positive change in communities through various social service initiatives. Their mission is to empower individuals and create a lasting impact on society by addressing critical social issues.- Collaborated with a cross-functional team to develop and maintain web applications, ensuring responsiveness and optimal user experience.- Assisted in the front-end development of web pages using HTML, CSS, and JavaScript, adhering to modern design and UX principles.- Gained experience with React.js, building interactive and dynamic components to enhance user interactivity.- Worked closely with senior developers to troubleshoot issues, optimize code, and implement improvements.- Contributed to the integration of RESTful APIs and backend services using Node.js and Express.js.- Assisted in code version control and collaboration using Git, enabling efficient teamwork and project management.