About Me
I'm an AI Systems Engineer at Stack8s and an MSc Advanced Computer Science graduate from the University of Leicester (Distinction), specializing in applied AI and Large Language Models.
I build retrieval-augmented systems with embeddings and pgvector, robust FastAPI/Node back ends, and modern React/Next.js UIs. I'm comfortable with multimodal STT/TTS/OCR, function calling, and streaming UX. Strong in Python and software engineering fundamentals — I ship testable services with telemetry, retries, and graceful shutdowns.
At Stack8s, I build AI applications, cloud pricing pipelines and internal tools that connect models, data and infrastructure.
Education
Master of Science (M.Sc.)
Advanced Computer Science
University of Leicester, UK
Jan 2024 – Jul 2025
Key modules: Big Data & Predictive Analytics, C++, Cybersecurity, Technology & Innovation Management
Bachelor of Engineering (B.E.)
Computer Science & Engineering
S.N. Patel Institute of Technology & Research Centre, India
Jun 2019 – Jun 2023
Key modules: Artificial Intelligence, Computer Networks, Data Mining, Machine Learning, Software Engineering
Highlights & Awards
Huawei Tech Arena — Finalist (Top 8/100+ teams)
Cyber4Me CTF — 3rd place (University of Wolverhampton)
Encode AI London '25 — "Crypto Radio"
University leadership: Peer Mentor, Course Rep, Leicester 100 (policy review for 10,000+ students)
Scholarships: MYSY Merit Scholarship, State Aptitude Test Winner
Experience
Stack8s
AI Systems Engineer
Remote, UK
- •Build and maintain pricing pipelines across 22 cloud providers, with daily ingestion, standardisation and validation.
- •Develop an agentic assistant that recommends compute instances, AI models and application stacks, owning the implementation from backend to interface.
- •Ingest AI model metadata from Hugging Face and NVIDIA NIMs for model discovery and comparison.
- •Build a GPU availability tracker that checks providers approximately every three minutes.
- •Create internal dashboards for analytics, pricing and margin changes, including controlled writeback workflows.
- •Own Supabase authentication, PostgreSQL databases and storage, and troubleshoot issues across the application and data layers.
IBM
Virtual Intern
- •Prototyped data cleaning & visualisation in Python, cutting exploratory cycle time by ~30% on sample datasets.
- •Evaluated classical ML models (precision/recall/AUC) and documented trade-offs for baseline selection.
- •Automated preprocessing (imputation/encoding/scaling) into reusable snippets for consistency across notebooks.
Microsoft
Virtual Intern
AICTE approved Virtual Internship under the Future Ready Talent initiative
- •Explored Azure (Static Web Apps, Front Door, CDN) and deployed sample apps with CI/CD from GitHub (100% green builds).
- •Practised Git/GitHub workflows (branching, PR reviews, issues), reducing merge conflicts on small team projects.
- •Built mini-demos connecting Azure front ends to simple APIs with notes on cost, latency, reliability trade-offs.
Direction Infosystems
Intern
Bardoli
- •Built and maintained websites using PHP, Laravel, MySQL, Bootstrap, and jQuery in a team setting.
- •Assisted in UI design and code deployment, ensuring smooth handover and compatibility with in-house tools.
Elsner Technologies Pvt. Ltd.
Summer Internship
Ahmedabad
- •Developed a basic Android-based To-Do list app using Java.
- •Completed foundational coding tasks while gaining exposure to agile teamwork and app development principles.
Project Highlights
From RAG-powered assistants to agentic AI systems, I build full-stack applications that combine cutting-edge AI with production-ready engineering.
RAG-powered with semantic matching, CV OCR, and SendGrid automation
AI triage chatbot with RAG+CAG pipeline and multimodal STT/TTS