Mohit Dey

AI Automation & Full Stack Engineer with hands-on experience building SaaS products, AI-driven applications, scalable backend systems, and cloud-native solutions. Proficient in Python, Java, Node.js, React, and modern development workflows, with expertise in API design, automation, system architecture, and product development.

Focused on solving real business problems through technology whether it's automating manual workflows, integrating AI into existing processes, or building software products from concept to deployment. Combines strong engineering fundamentals with a product-oriented mindset to create scalable, reliable, and impactful solutions that drive measurable results.

AI Engineer Intern at Renie Tech Trading LLC (2025-08 – 2025-11)

• Designed and deployed AI-enabled automation systems using Python, LangChain, LLM APIs, and workflow orchestration tools, improving processing throughput by 40% and enabling scalable, cloud-native operations.
• Built and delivered production-grade automation solutions integrating third-party services (messaging, mapping, email, and task management APIs), handling 1,000+ events per day and reducing manual operational effort by ~90%.
• Implemented event-driven, microservice-based architectures with real-time data ingestion, intelligent routing, and rule-based escalation logic, decreasing average incident resolution time by 45% while maintaining 99.9% uptime.
• Integrated monitoring and observability pipelines to track system health, latency, and failures, ensuring 95th-percentile response times under 2 minutes and stable performance under production load.

Data Engineer Intern at Vensure Employer Solutions (2024-09 – 2025-06)

• Engineered automated EDI file processing pipelines (834, CSV, Fixed Width) using C#, Python, SQL, and REST APIs, processing 50k+ records/day with 100% data accuracy and 95% automated test coverage through PyTest and N-Unit.
• Developed and orchestrated secure cloud-based SFTP workflows using Python, WinSCP, Jenkins, and Cron jobs, increasing transfer reliability by 35% and reducing downtime by 28%.
• Enhanced data integration and QA frameworks with regex-based mapping logic and automated validations, decreasing defect rates by 22% and improving SLA delivery time by 30%.
• Collaborated with cross-functional teams to align data pipelines with enterprise architecture, ensuring 99% data delivery compliance, observability, and KPI-driven performance monitoring.

Bachelor Of Engineering in Computer Science Engineering – Chandigarh University (2021 – 2025)