Nidhi Patel profile photo 1 on Tal

Nidhi Patel

Technology Intern @Barclays | National Finalist @TBO.com VoyageHack 3.0 | Barclays Hack-o-hire 2025 Finalist | Infosys iAccelerate Winner | BTech SPIT’27 | Software Developer | ML Enthusiast

Mumbai

1+ year of work experience

Barclays
Jun 20263 mosPresent

Pune District, Maharashtra, India

Designed a tool-agnostic AI Skills Library for the software design phase, targeted at the Solution Architect persona, standardizing prompts, workflows, and review checkpoints for HLD, LLD, and C4 diagram generation across multiple AI platforms — addressing an adoption gap where agentic coding tools were accessible to under 10% of the engineering population. Built a reusable, cacheable context pipeline (structured context → scope extraction → design generation → tech stack mapping → resilience recommendations → detailed design) persisted as portable knowledge files, enabling mid-pipeline resumption and reducing repeated API calls within enterprise token limits. Presented technical architecture and delivery outcomes to engineering stakeholders, covering design tradeoffs in cross-tool AI adoption, API/token optimization, and governance requirements for human-in-the-loop review. Designed a customer search feature from rigid ID-based lookup to fuzzy, name-based search using Jaro-Winkler similarity and token-comparison scoring, enabling users to search naturally without needing an internal reference ID. Optimized match-ranking performance by replacing a nested-loop O(n²) lookup with a HashMap-based O(1) lookup, reducing search latency and eliminating unnecessary object creation on repeated calls. Diagnosed and fixed a data-exposure defect in an API response layer by tracing a boolean configuration flag end-to-end across configuration, section, and category-transformation layers, implementing missing mappings to correctly filter restricted data from client-facing responses. Wrote unit tests covering name normalization, fuzzy-match scoring, and configuration-to-response mapping logic, improving test coverage and catching edge cases including name variation handling, suffix stripping, and null propagation prior to deployment.
IETE SPIT
Sep 202411 mosJul 2025

Mumbai, Maharashtra, India

Nidhi’s AI Stack

antigravity
antigravity
codex
codex
claudecode
claudecode

Education

Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

Minors in Artificial Intelligence

Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

20243 yrs2027
Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

Bachelor of Technology - BTech

Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

20234 yrs2027

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Headline

Technology Intern @Barclays | National Finalist @TBO.com VoyageHack 3.0 | Barclays Hack-o-hire 2025 Finalist | Infosys iAccelerate Winner | BTech SPIT’27 | Software Developer | ML Enthusiast

About

I'm a third-year student at SPIT and currently serving as the Technical Head at IETE SPIT. With a strong passion for technology and development, I've built a solid foundation in Full Stack Development using MERN and Flask, and I’m actively exploring the world of Generative AI and Machine Learning. I’m always excited to collaborate on impactful tech projects, contribute to communities, and learn something new every day. Let’s connect and create something meaningful together in tech!

Location

Mumbai

AI stack

antigravity

codex

claudecode

Work experience

Technology Developer Intern at Barclays, Jun 2026 - Present · 3 mos, Pune District, Maharashtra, India, Designed a tool-agnostic AI Skills Library for the software design phase, targeted at the Solution Architect persona, standardizing prompts, workflows, and review checkpoints for HLD, LLD, and C4 diagram generation across multiple AI platforms — addressing an adoption gap where agentic coding tools were accessible to under 10% of the engineering population. Built a reusable, cacheable context pipeline (structured context → scope extraction → design generation → tech stack mapping → resilience recommendations → detailed design) persisted as portable knowledge files, enabling mid-pipeline resumption and reducing repeated API calls within enterprise token limits. Presented technical architecture and delivery outcomes to engineering stakeholders, covering design tradeoffs in cross-tool AI adoption, API/token optimization, and governance requirements for human-in-the-loop review. Designed a customer search feature from rigid ID-based lookup to fuzzy, name-based search using Jaro-Winkler similarity and token-comparison scoring, enabling users to search naturally without needing an internal reference ID. Optimized match-ranking performance by replacing a nested-loop O(n²) lookup with a HashMap-based O(1) lookup, reducing search latency and eliminating unnecessary object creation on repeated calls. Diagnosed and fixed a data-exposure defect in an API response layer by tracing a boolean configuration flag end-to-end across configuration, section, and category-transformation layers, implementing missing mappings to correctly filter restricted data from client-facing responses. Wrote unit tests covering name normalization, fuzzy-match scoring, and configuration-to-response mapping logic, improving test coverage and catching edge cases including name variation handling, suffix stripping, and null propagation prior to deployment.

Technical Head at IETE SPIT, Sep 2024 - Jul 2025 · 11 mos, Mumbai, Maharashtra, India

Education

Minors in Artificial Intelligence, Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai

Bachelor of Technology - BTech, Bhartiya Vidya Bhavans Sardar Patel Institute of Technology Munshi Nagar Andheri Mumbai