Siddesh Kamble

Designed and built a full-stack platform using React, Next.js, Node.js, and MySQL, processing 1,000+ records and reducing workflow latency by 60%. Built automated data pipelines on Google Cloud for ingestion, validation, and reporting, eliminating manual workflows. Developed real-time dashboards enabling faster stakeholder decision-making. Collaborated on system design, API contracts, and database schema optimization. Mentored junior developers on backend architecture and best engineering practices.

Developed Dialogflow CX chatbots and IVR systems supporting 500+ users across web, mobile, and telephony. Integrated AI-driven Digital Human simulations for large-scale training platforms used by 200+ students. Designed and deployed NLP pipelines with high availability and low latency. Collaborated cross-functionally with product and UX teams to deliver production-ready AI systems. Standardized conversational AI frameworks and mentored 50+ engineers.

Developed conversational AI chatbots and IVR agents using Google Dialogflow, improving customer engagement and automating interactions across web, mobile, and telephony platforms. Managed and optimized Google Cloud functions and deployment pipelines, enhancing reliability and reducing manual intervention in production workflows. Contributed to React-based interfaces for AI-driven applications, building interactive and scalable dashboards for real-time user insights.

Built Python-based risk models for 10,000+ loan accounts, automating underwriting workflows. Developed analytical dashboards for forecasting and business insights. Integrated ML models into Django applications for non-technical users. Conducted A/B testing and predictive analysis, improving conversion rates by 18%.

Completed Master of Science in Computer Science in December 2025 with a GPA of 3.6/4. Coursework includes Applied Natural Language Processing, Database Management Systems, and Design & Analysis of Algorithms. Building on prior professional experience as a Conversational AI Engineer and Data Science Intern to strengthen expertise in Software Engineering, AI development, and full-stack software engineering.

Completed a Bachelor’s degree in Computer Engineering with a strong foundation in software engineering, data structures, algorithms, databases, and computer systems. Gained hands-on experience through academic and project-based coursework involving full-stack development, backend systems, databases, and applied machine learning. Built and deployed software projects using Python, JavaScript, SQL, and web technologies, emphasizing clean architecture, scalability, and performance. Developed problem-solving skills through algorithmic coursework and collaborative engineering projects, laying the groundwork for production-level software development and cloud-based systems.

Completed a Diploma in Computer Engineering with a strong foundation in programming, data structures, databases, and computer systems. Gained early hands-on experience through lab-intensive coursework and technical projects involving C/C++, Java, Python, SQL, and web fundamentals. Built software applications emphasizing problem-solving, algorithmic thinking, and structured program design. This program provided the foundational engineering skills that supported advanced coursework in Computer Engineering and later full-stack and cloud-based software development.