Mohammad Kaamil Mirza
Full Stack Developer & Software Engineer
⚡ Work Experience
Software Engineer
@Xelpmoc Design & Tech
- →Architect-ed data ingestion pipeline for CSV datasets with 1M+ records, implementing streamed parsing, parallel batching, and MongoDB bulk operations.
- →Developed dashboard using Next.js and shadcn/ui for LLM chat, files upload, version control, and text stream.
- →Ensured RBAC, encrypted file storage, and OpenAI compatible API streaming for security and performance.
- →Engineered bank reconciliation system, processing financial data supporting 10,000+ files everyday with 92%+ accuracy.
- →Developed pipelines for layout-aware, transformer based document analysis, and normalization.
- →Rolled out rule-based logic, pattern recognition, and fuzzy matching for 92%+ accuracy in transaction reconciliation and automated workflows with Python, AWS Lambda, pandas.
- →Deployed distributed job queues for document processing using BullMQ and Redis, achieving 95%+ data extraction accuracy.
- →Crafted OCR pipelines for documents and forms, handling both handwritten and digital formats, achieving up to 95%+ data extraction accuracy.
- →Built a no-code RAG experimentation platform with LangChain, supporting configurable loaders, embeddings, and multiple vector DBs (Pinecone, FAISS, Qdrant, Weaviate, Milvus), and LLMs (OpenAI, Cohere, Hugging Face).
- →Established local and cloud-based benchmarking with metrics for latency, token matching, retrieval precision, and supporting rapid prototyping, fine-tuning, and deployment and could test 25+ RAG pipelines.
SDE-1 (Full Stack Development)
@Lumara Jewels
- →Built a Server-Driven UI (SDUI) with template engine for dynamic components, enabling real-time updates without redeployments and improving iteration cycles by 50% like Airbnb.
- →Created real-time product filtering using elasticsearch aggregations for category-aware faceted filters with sub-20ms response times.
- →Deployed resilient sync pipelines between MongoDB and elasticsearch using change streams, bulk indexing, and retry strategies, ensuring consistent data and sub-20ms response times.
- →Integrated payment gateways for transaction processing, supporting captures, refunds, and payment links with event-driven reconciliation layer.
- →Designed RESTful APIs with S2S callbacks, and webhook verification to ensure data security and integrity.
- →Released an event-driven system for payments with a reconciliation layer handling failures and concurrency.
- →Constructed Redis caching for product filters, implementing invalidation and key-based expiry policies, achieving 60% reduction in cold start latency and improving filter load times for better user experience.
SDE Intern (Full Stack Development)
@Lumara Jewels
- →Implemented SEO in Next.js with SSR, automated metadata, and self-healing canonical URLs, achieving page insights score 100 to boost visibility.
- →Integrated JSON-LD structured data for product pages, enabling rich search results, higher CTR, and improved UX.
- →Used finite state machines to maintain correct order states and ensure data consistency across systems.
- →Hatched pricing engine using the adapter pattern, supporting material pricing, weights, and attributes.
- →Created a custom invoicing and mailing system integrating AWS S3 pre-signed uploads and react-email with Resend, supporting 30+ templates.
- →Designed and delivered a configurable promotion engine enabling stacked rules, thresholds, and timed activations at cart and product levels.
- →Enabled admin configuration and API-driven rule evaluation for seamless promotional control.
🎓 Education
Master of Information Technology Security - Artificial Intelligence
Ontario Tech University, Ontario, Canada
Bachelor of Technology in Computer Science and Engineering
Jawaharlal Nehru Technological University, Hyderabad, India
🚀 Projects
Companion - Mobile Application for Sharing Notes Across University
Launched a campus student app with 2000+ Play Store downloads and 200 daily active users. Enabled sharing of 500+ digital notes and real-time chat interactions, fostering academic collaboration. Orchestrated CI/CD pipelines and testing, ensuring smooth deployment and high-quality releases. Demonstrated technical expertise, Dev-ops practices, and market research skills, delivering a successful and impactful project. Utilized AWS S3 to store documents and EC2 Instance with Elastic IP to host the backend service.
Razorpay-MCP Server NPM Package
NPM PackageAuthored an open-source NPM package called razorpay-mcp, a Model Context Protocol (MCP) (Anthropic) server enabling AI assistants like Cursor, Claude, and Copilot to access Razorpay payment gateway data. Implemented tools for fetching Razorpay data, including payments, orders, settlements, and more, with pagination support for large datasets. Ensured compatibility with multiple transport methods like stdio, SSE, and Docker, facilitating various deployment scenarios. Used TypeScript for strict type safety, authoring modular, testable code for easy extension.
💻 Skills
Languages
Developer Tools
Technologies/Frameworks
Databases
Cloud Technologies
🏆 Achievements
Google Hack4Change – Winner
Aug 2023, T-Hub, Google India, ISB. Engineered a CNN-based crop monitoring system that estimated nitrogen and water content from leaf imagery with 92% prediction accuracy, enabling data-driven yield optimization for farmers.
Dark Pattern Buster Hackathon
Aug 2023, IIT BHU, Ministry of Consumer Affairs. Hatched an AI system to detect and track dark patterns in web interfaces, achieving 89% classification accuracy on benchmark datasets.
App Fiesta - Winner
2023. Secured 1st place for engineering a full-stack campus-connect mobile application using Flutter, Firebase, and MongoDB. Delivered features including real-time messaging, event announcements, and resource sharing, and student engagement. Introduced Material UI for consistent design and cross-platform responsiveness.
Muffakham Jah Hackathon - Winner also Major League Hacking (MLH)
2023. Won 2nd prize for building a novel and impactful solution that addressed a pressing challenge, showcasing both technical prowess and creativity.
📄 Publications & Patents
Research Paper
A Mobile Application for Crop Optimization using Satellite Imagery and Disease Detection using AI
IJRASET, ISSN: 2321-9653; Volume 12 Issue IV Apr 2024
Current Status
Open to opportunities 🚀
Preferred: Remote / Hybrid