

Dynamic software professional with over 7 years of experience in full-stack development, with expertise spanning ReactJS, Java/Spring Boot, and Python. Proven track record in building end-to-end applications — from responsive front-end architectures (React, Redux, SCSS, Bootstrap) to robust backend services — and advancing into AI-native development workflows. Experienced in building multi-agent AI systems, including a research automation platform utilizing CrewAI, FastAPI, and React with real-time SSE streaming. Skilled in AI-assisted development with Claude and Cursor, alongside hands-on experience in LLM orchestration, prompt engineering, and agentic pipelines. Committed to delivering intelligent, value-added solutions at the intersection of modern software engineering and applied AI.
• Developed an Online Account Opening Application for a national government bank's foreign offices.
• Designed and implemented the user interface using JavaScript, HTML5, CSS3, and AJAX.
• Collaborated with clients to gather requirements and provide technical solutions, resulting in a 100% satisfaction rate.
Using Google Analytics reports, I optimized the page load time for the pages that had heavy traffic, and I improvised these pages using CSS.
Handled alerts, viz., email and text triggers to customers on each transaction.
• Implemented responsive designs, resulting in a 15% increase in mobile traffic.
• Independently developed joint account opening forms for customers by handling confidential data and validating the same using JavaScript and OAuth.
• Created wireframes, storyboards, user flows, documentation, and site maps to effectively communicate design ideas.
• Traveled to the client onsite to deploy custom menus, and took care of post-production support.
Operating Systems: Windows, Linux
Software development
Microservices architecture
Agile methodologies expert
Testing and debugging
Project leadership
Technical support escalations
Project documentation
Development lifecycles
ResearchOS — Multi-Agent AI Research Platform Personal Project | Python, FastAPI, CrewAI, React, CopilotKit
Built an end-to-end AI research automation platform leveraging a multi-agent CrewAI sequential pipeline (Researcher → Fact Checker → Analyst → Report Writer → Critic). Designed a FastAPI backend with real-time SSE streaming and a React/CopilotKit frontend, implementing structured source validation, confidence scoring, and penalty-based quality enforcement across agents.