Debangi.
I build software that solves real problems.
From AI-powered search to scalable full-stack platforms, I turn complex problems into reliable products.
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Selected work and case studies.
Atlas — AI Knowledge Workspace
Full-stack SaaS workspace where teams upload documents, search internal knowledge, and ask questions with source citations.
Findwise — AI Commerce Discovery
AI-driven e-commerce discovery platform featuring hybrid search, image embeddings, and real-time recommendations.
Relay — AI Incident Response Platform
Engineering operations dashboard that groups alerts, summarizes logs, and suggests investigation steps via AI agents.
Software engineering roles from 2021 to the present.
Logixal Cloud Solutions
Senior Software Engineer
Built visual product search using image embeddings and Apache Solr across 5+ storefronts, achieving sub-150ms search latency.
Developed behavioral personalization using MongoDB, real-time affinity scoring, and Redis caching, contributing to a 22% improvement in predictive bundling/personalized recommendations.
Architected high-availability e-commerce microservices using Node.js, NestJS, Next.js, Kafka, and multiple payment integrations.
Supported more than 10K weekly transactions with a 99.9% transaction success rate.
Implemented Docker/Jenkins CI/CD and AWS/Kubernetes deployment practices supporting zero-downtime updates.
Enhanced average page load speed by 35% across high-traffic stores through efficient data fetching architecture, SEO improvements, and integrated backend data integration pipelines processing 100K+ daily events.
Integrated Strapi CMS with Storybook component libraries across 10+ modules, streamlining UI delivery timelines by 25% for rapid front-end component deployment.
AVRL
Technical Delivery Manager
Reduced milestone overruns by 25%.
Directed end-to-end technical delivery across 3 concurrent client accounts, translating complex business requirements into structured engineering milestones.
Coordinated cross-functional engineering workflows for a team of 8+ engineers, mitigating delivery bottlenecks and aligning technical execution with client expectations under tight weekly sprint timelines.
AVRL
Software Development Engineer I
Developed React/Next.js and Node.js platforms for logistics and bidding workflows.
Built REST/WebSocket APIs supporting 5,000+ messages per minute and reduced latency by 35%.
Optimized MongoDB/MySQL schemas across 15+ tables, improving query performance by 35%.
Implemented authentication and authorization using JWT/OAuth.
Contributed to CI/CD and application delivery.
Architected 8+ full-stack applications specializing in backend systems for logistic bidding bot automation and management platforms serving 500+ active daily users.
Developed 200+ API-driven automation solutions, eliminating over 500 hours of manual work monthly across supply chain and logistics operations.
Reduced unauthorized access attempts by 40% across internal systems via enterprise authentication.
Deployed containerized CI/CD workflows using Docker and GitHub Actions, halving release cycles from 2 weeks to 1 week.
Cognizant
Programmer Analyst
Processed 20GB+ of data daily and reduced batch processing time by 30%.
Collaborated with data engineering teams to re-architect ETL workflows, improving pipeline throughput and fault tolerance by 25%.
Coordinated Agile sprint planning sessions for a team of 12, increasing delivery predictability by 15% and reducing sprint backlog carryover.
A brief introduction.
Engineer by profession. Curious by nature.
Constantly working on side projects and exploring new tools to keep my engineering skills sharp.
Lifting weights keeps me disciplined and provides a necessary physical and mental reset.
I love traveling to new cities, experiencing different cultures, and expanding my perspective.
Tools I use to build.
Frontend
- —JavaScript
- —TypeScript
- —React
- —Next.js
- —Redux
Backend and APIs
- —Node.js
- —NestJS
- —Express
- —REST APIs
- —WebSockets
- —Distributed systems
- —Event-driven architecture
AI and search
- —Python
- —AI/ML integrations
- —LangChain
- —Retrieval-Augmented Generation (RAG)
- —Embeddings
- —Vector search
- —Agentic AI
Data and messaging
- —MongoDB
- —PostgreSQL
- —MySQL
- —Redis
- —Apache Solr
- —Kafka
- —RabbitMQ
Infrastructure and delivery
- —AWS
- —Google Cloud Platform
- —Docker
- —Kubernetes
- —Jenkins
- —CI/CD
Let's work together.
Whether you're building a team, planning a complex backend migration, or designing a product with LLMs, I'd love to hear what you're working on.