Full Stack Engineer with less than a year in AI Agent Workflows & Web Development
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Assessing your cultural and operational fit
Highly motivated Full-Stack Developer Intern with 9 months of experience across AI agent workflows, visual flow builders, and production-level applications. Proficient in Next.js, React, Node.js, Python, and various databases. Skilled in architectural design, problem-solving, and developing scalable, high-performance systems, with a proven track record of delivering impactful projects and contributing to team success.
Kalinga Institute of Industrial Technology
Master of Computer Applications
August 1, 2024 – June 30, 2026
Dr. B. C. Roy Engineering College
Bachelor of Computer Application
August 1, 2020 – June 30, 2023
MuxGrow
Software Engineer Intern
February 1, 2026 – Present
India
Tea Tech Solution
Full-Stack Developer Intern
June 1, 2023 – September 30, 2023
Durgapur, West Bengal, India
IntervAI
January 1, 2026 – Present
Architected a full-stack AI interviewing platform, implementing robust polling with exponential backoff that eliminated infinite network requests and increased report generation reliability to 100%. Engineered a scalable AI proctoring microservice via Python, FastAPI, and YOLOv8, mitigating web-cam race conditions to achieve a zero-crash high-fidelity monitoring pipeline. Developed an interactive voice recording interface featuring real-time pitch-based visual feedback, enhancing candidate engagement by simulating seamless face-to-face interactions.
View ProjectWalletWise
June 1, 2025 – July 31, 2025
Built an AI-driven payment recommendation system that suggests 87% optimal payment methods based on cart value, user goals, and available offers. Optimized LLM responses by 32% by tuning prompts with dynamic user data and system context. Applied transfer learning on PaLM2 with Genkit to build domain-specific recommendation models.
View ProjectHackHustle 2023 - Won 1st place among 180+ teams
Devfolio and NIT Durgapur
January 1, 2023 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects (AI interviewing platform, payment recommendation system, AI agent workflows) and a hackathon win demonstrates initiative, a proactive learning attitude, and a passion for technology. Their experience with various frameworks and tools suggests a willingness to explore and adapt to new technologies, which aligns well with dynamic, innovative environments. The focus on building robust and scalable solutions indicates a commitment to quality and best practices.
Soft Skills & Operational Fit
The candidate highlights problem-solving, critical thinking, architectural design, and adaptability as soft skills. Their project descriptions demonstrate these through tackling complex technical challenges like mitigating race conditions, optimizing LLM responses, and ensuring data integrity. The experience in remote work (MuxGrow) suggests adaptability and self-management. The hackathon win indicates strong teamwork and delivery under pressure.