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Software Engineer with 1+ years in MERN, DevOps & AI-Assisted Development
Full Stack Developer with around 2 years of experience designing, building, and deploying production-grade MERN stack applications using JavaScript, Node.js, React.js, and MongoDB. Skilled in REST API development, OOP principles, JWT authentication, CI/CD pipelines (Jenkins), Docker containerisation, and AWS (S3, EC2). Leverages AI-assisted development tools including Gen AI APIs (OpenAI) for intelligent validation and automation, accelerating code generation, automating repetitive tasks, improving code quality, and streamlining debugging workflows – consistently delivering features faster without compromising reliability. Strong foundation in data structures and problem-solving, with experience in Agile/Scrum environments. Proven track record of owning features end-to-end and collaborating cross-functionally in fast-paced startup environments.
Gandhi Institute for Technology, Bhubaneswar
Master of Computer Applications (MCA)
August 1, 2022 – June 30, 2024
Aquapulse (Phoenix Marine Exports & Solution Pvt. Ltd.)
Software Engineer
September 1, 2024 – Present
Bhubaneshwar, Odisha, India
Aquapulse Export ERP - Live Harvest to Export Processing System
December 1, 2025 – Present
Engineered an end-to-end Export ERP from live harvest capture to shipment tracking, replacing manual workflows and reducing batch processing time by ~60% across 5+ export operations. Built a real-time harvest data ingestion pipeline using Node.js event-driven architecture, capturing live weight, species, and quality grade from farm sites with sub-second latency to dashboard. Architected 12 MongoDB collections for the harvest-to-export domain with compound indexes, reducing cross-collection aggregation query time by ~45%; used AI tools to prototype and validate schema design decisions faster. Built an export compliance module auto-generating 4 certificate types (health, phytosanitary, origin, packing list) as PDFs on AWS S3, cutting document prep time from 3 hours to 20 minutes per shipment. Implemented a state machine-based processing stage tracker (Harvested > QC Passed > Packed > Cold Storage > Dispatched) in Express.js middleware, ensuring full audit traceability. Set up Grafana Loki observability across 3 microservices, enabling real-time failure alerting and reducing incident detection time from ~30 minutes to under 3 minutes. Containerised all ERP services with Docker and enforced SonarQube A-grade quality gates on every Jenkins build, catching 15+ runtime errors before production; used AI-assisted tools to generate and refine unit test scaffolding. Integrated OpenAI GPT-4 API for intelligent validation of harvest data inputs on the frontend — detecting anomalous entries (e.g., mismatched species/weight/grade fields) and surfacing natural language error hints, reducing data correction cycles by ~25% and improving downstream processing accuracy.
Aquapulse360 - Seafood Export Management Website
March 1, 2025 – Present
Designed and developed the Aquapulse360 public-facing website using React.js, enabling 3+ enterprise clients to access end-to-end seafood export solutions online. Reduced data retrieval latency by 40% by re-architecting MongoDB aggregation pipelines and introducing compound indexes on high-frequency query fields. Integrated AWS S3 for scalable media storage (99.9% availability) and automated CI/CD via Jenkins + GitHub webhooks, cutting release cycle time from 2 days to 4 hours; used AI-generated documentation to maintain clear API contracts across teams.
Aquapulse Web App - Aquaculture Advisory Platform
March 1, 2024 – Present
Built a full stack digital advisory platform using React.js and Node.js, serving 200+ active aquafarmers and exporters with pre-harvest guidance and supply chain optimisation features. Engineered 15+ REST API routes for real-time advisory, user management, and reporting modules, maintaining 99.5% uptime in production. Implemented JWT authentication with RBAC for 3 user types, enforcing data isolation with zero security breaches post-launch. Optimised MongoDB queries for data dashboards, reducing report generation from ~8 seconds to under 1.5 seconds for 50,000+ record datasets; used AI-assisted profiling suggestions to identify bottlenecks. Achieved 70%+ backend unit test coverage using Jest following OOP best practices, reducing production regression bugs by ~30%; used AI tools to auto-generate test scaffolding and identify untested code paths.
Full Stack Web Development in Node.js
Coding Ninjas
June 1, 2026 – Present
Excellence in Java
Coding Ninjas
June 1, 2026 – Present
JavaScript Skills Certification
HackerRank
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity within the aquaculture domain showcases a focused yet broad application of their skills. Their experience in a startup environment (Aquapulse) indicates adaptability and a proactive approach, which aligns well with dynamic work cultures. The breadth of skills across frontend, backend, database, and DevOps, combined with AI integration, suggests a candidate who is keen on adopting new technologies and contributing across various aspects of a project.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by their ability to reduce processing times and improve system performance across multiple projects. Their experience in Agile/Scrum environments and cross-functional collaboration suggests a good operational fit. The use of AI tools indicates an adaptive and efficient approach to development.