Available to hire
I’m a software engineer with a proven track record of architecting and deploying AI-driven systems and full-stack cloud solutions in enterprise environments. I enjoy turning complex requirements into scalable, maintainable software using Python, TypeScript, Java, and modern cloud tooling.
Highlights include building an enterprise RAG chatbot backend that serves 500+ engineers and cutting interruptions by 65%, and delivering a cloud automation platform that reduces a 1-week workflow to under 45 minutes. I thrive on rapid learning and collaborative problem-solving to deliver impactful, well-documented solutions.
Experience Level
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Language
English
Fluent
Urdu
Fluent
Hindi
Fluent
Spanish; Castilian
Advanced
Japanese
Beginner
Work Experience
Software Engineer at BT Group
June 1, 2023 - September 1, 2024Contributed to a full-stack cloud automation platform using TypeScript and React, streamlining AWS account provisioning from a 1-week manual process to an automated 45-minute workflow. Implemented a Docker-based microservices architecture enabling zero-downtime deployments across multiple AWS environments. Engineered an automated notification service using Java on AWS Lambda and SES handling 100+ daily approvals, accelerating approval cycles. Developed and maintained GitLab CI/CD pipelines for seamless deployment across development and production environments. Architected and developed an enterprise RAG chatbot using Python, FastAPI, and LangChain, serving 500+ engineers and reducing interruptions by 65%. Implemented a scalable vector embedding pipeline using Azure OpenAI for semantic search across a knowledge base of 10,000+ documents. Established monitoring, logging, and robust error handling to achieve 99.8% uptime. Authored technical documentation and customer-facing tutorials to i
Founding Engineer at TradeSage
September 1, 2024 - PresentArchitected an AI-first offline-capable PWA using React, Next.js and IndexedDB, reducing report creation time from 4 hours to under 30 minutes and securing initial seed funding. Engineered a multi-agent, event-driven AI pipeline orchestrating multiple LLMs, achieving 95% accuracy in parsing unstructured notes and establishing the company’s core IP. Developed and integrated a custom YOLOv8 computer vision model via a Python/FastAPI service, automating circuit board analysis and eliminating a 20-minute manual data entry task. Implemented a robust local-first persistence layer using IndexedDB and Service Workers, ensuring 100% offline application availability. Built a knowledge graph agent using Python and Neo4j to validate AI-generated observations against BS 7671 regulations, guaranteeing 100% auditable compliance for all final reports.
Education
BSc (with placement year) Computer Science at Aston University
September 1, 2021 - July 1, 2025MSci Physics at University of Nottingham
September 1, 2017 - June 1, 2021Qualifications
Industry Experience
Software & Internet, Telecommunications, Professional Services, Computers & Electronics
Experience Level
Expert
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