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Jiten GohillJG
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Jiten Gohill

@jitengohill

Full Stack Engineer at CNS Sneakers LTD who automated cross-listing and inventory for 6,000+ pairs, increasing sales by 20%.

United Kingdom
Message

I am a Full Stack Engineer with two years of industry experience building web applications, cloud platforms, and marketplace integrations. My expertise includes TypeScript, React, Python, PostgreSQL, and cloud infrastructure. I use AI coding tools throughout development to accelerate delivery, with a focus on maintainable architecture and measurable business results.

At CNS Sneakers, I architected and developed an inventory platform integrating StockX, GOAT/Alias, and eBay, supporting over 6,000 inventory items and more than 20 daily sales. My work on automated relisting and repricing increased sales by 20%, while platform automation reduced manual workload by 50%. I also built background processing, audit logging, and financial reconciliation systems to support reliable operations.

Previously, at Zing Dev, I helped deliver cloud contact-centre software across 23 countries and reduced deployment times from four hours to fifteen minutes through infrastructure automation. I led a four-person agile squad, working with clients to deliver three custom solutions on schedule and within budget. Alongside my professional experience, I hold a BSc in Computer Science from Queen Mary University of London, where I developed machine learning systems for property valuation.

Experience

Work history, roles, and key accomplishments

CL
Current

Developer

CNS Sneakers LTD

Jan 2026 - Present (9 months)

Architected and built an inventory platform integrating StockX, GOAT/Alias and eBay, automating cross-listing, sales detection and inventory synchronisation for 6000+ pairs and 20+ sales a day. Implemented automated relisting and repricing, increasing sales by 20% and reducing manual workload by 50%.

ZL

Junior Developer

Zing Dev Limited

Jul 2023 - Aug 2024 (1 year 1 month)

Spearheaded Zing's largest 2024 initiative, a cloud contact-centre platform on Azure that integrated Twilio Conversation Service and the Telegram Bot API, scaling fault-free to 250,000 peak concurrent chats across 23 countries. Engineered a modular DevOps pipeline with Azure DevOps, Terraform and GitHub Actions, cutting deployment time by 95%.

Education

Degrees, certifications, and relevant coursework

Queen Mary University of London logoQL

Queen Mary University of London

Bachelor of Science, Computer Science

2021 - 2025

Activities and societies: Utilised PyTorch to create a Convolutional Neural Network trained on CIFAR-10, achieving 93% accuracy. Created a property-price predictor and implemented a full-stack social platform graded 79%.

Bachelor of Science in Computer Science with Industrial Placement. Relevant modules include Algorithms & Data Structures, Fundamentals of Web Development, and Web Engineering.

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