
Mohammed Adil
@mohammedadil1
I build scalable full-stack and AI features for tax and privacy products.
What I'm looking for
At Thomson Reuters, I build full-stack features for the Making Tax Digital platform using Angular and C#.NET microservices. I've reduced API response time by 35% and improved reliability through data-pipeline optimization.
I also developed an AI-powered smart category mapping feature for classifying financial transactions, deployed with AWS Lambda for scalable processing. Previously, I improved MTD frontend performance, resolving 10+ critical bottlenecks and delivering 25% faster page loads.
At Zyphron Technologies, I built a LangChain and Pinecone RAG pipeline for PII detection that reached 92% precision. I also created a document assistant using FastAPI, Streamlit, Gemini, Pinecone, and Docker, delivering context-aware answers in under four seconds.
Experience
Work history, roles, and key accomplishments
Engineered full-stack features for the Making Tax Digital platform using Angular and C#.NET. Optimized data processing pipelines, reducing API response time by 35%, and developed an AI-powered smart category mapping feature deployed on AWS Lambda.
Orchestrated migration of the product UI framework to the Saffron Design System and developed reusable Angular components. Resolved 10+ critical frontend bottlenecks, resulting in 25% faster page load times.
AI/ML Intern
Zyphron Technologies
Dec 2024 - Feb 2025 (2 months)
Architected a RAG pipeline using LangChain and Pinecone to automate PII detection, achieving 92% precision. Engineered synthetic text generation scripts using LLMs to enrich training datasets.
Education
Degrees, certifications, and relevant coursework
Gujarat Technological University
Bachelor of Engineering, Computer Engineering
2021 - 2025
Grade: 8.78/10.0 CGPA
Bachelor of Engineering in Computer Engineering from Gujarat Technological University, with a CGPA of 8.78/10.0.
Swami Vivekanand Govt. Model School
Higher Secondary, PCM
2019 - 2021
Grade: 73.26%
Higher Secondary education in Physics, Chemistry, and Mathematics, with a score of 73.26%.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Website
mohammedadil.vercel.appPortfolio
github.com/aadil080/RAG-ChatBOTSalary expectations
Social media
Job categories
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