Nipun Patel Thumu
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Computer Science · Backend · Applied AI

Building systems
that hold their line.

Backend, distributed systems and applied AI engineering—with product judgment, clear failure modes and work built beyond the classroom.

View selected work
Study
B.Sc. CSE · BITS Pilani · 2027
Experience
Paid Teaching Assistant · 2 roles
Current
Open to software engineering internships

01 / The method

Read the wind.
Control the line.
Keep adjusting.

The same rhythm shapes my engineering: observe constraints, design for failure, test the edges, then improve.
Backend systems Distributed systems Applied AI

01 / Selected work

Engineering, made concrete.

Three projects selected from public repositories for systems depth, product thinking, and recruiter relevance.

01

Meeting intelligence · Team project

ScribeFlow

Meeting decisions disappear inside long recordings. ScribeFlow turns audio into searchable, evidence-linked transcripts, summaries, and action items.

FocusReliable AI processing pipeline

Engineering noteResumable private uploads feed an idempotent transcription, analysis, persistence, and pgvector indexing workflow.

  • TypeScript
  • React
  • Express
  • PostgreSQL
  • pgvector
  • Vitest
View case study GitHub Live demo ↗
02

Distributed systems · Full stack

Distributed Search Typeahead System

A Redis-backed typeahead system with consistent hashing, targeted cache invalidation, batched event writes, and graceful SQLite fallback.

FocusRedis · consistent hashing · batching · fallback

Engineering noteThree Redis nodes route keys through a virtual-node hash ring; affected prefixes are invalidated after committed batches and reads fall back to the database on cache failure.

  • Redis
  • Consistent hashing
  • Cache invalidation
  • Batching
  • SQLite fallback
  • Spring Boot
View case study GitHub
03

Applied AI · Legal technology

LexGuard

Contracts hide practical risk inside dense clauses. LexGuard structures those risks into consequences, obligations, and questions worth negotiating.

FocusSafe, structured model integration

Engineering noteServer-side Gemini access, strict structured output, normalization, and a deterministic fallback keep the report interface predictable.

  • TypeScript
  • React
  • Express
  • Gemini
  • Vertex AI
  • Vite
View case study GitHub Live demo ↗

02 / Experience

Technical depth, shared clearly.

Progressing from broad first-year Computer Science teaching to a current, specialised MERN full-stack appointment.

Teaching Assistant experience

Scaler School of Technology

Two part-time appointments

Part-timeCurrent

Teaching Assistant — MERN Full-Stack Development

August 2026 — November 2026

  • Supports a cohort of 40 students across MongoDB, Express, React, and Node.js through two labs each week and additional exam-time or on-demand help sessions.
  • Reviews assignments and full-stack projects, conducts evaluations, and helps debug frontend, API, database, and integration issues.
  • Prepares teaching material and coordinates with instructors to reinforce application structure, testing, and practical debugging habits.
  • MongoDB
  • Express
  • React
  • Node.js
Part-timePrevious

Buddy — First-Year Computer Science Curriculum

August 2025 — June 2026

  • Mentored approximately 30 first-year students through coursework doubts, progress check-ins, and academic guidance.
  • Conducted or assisted office hours, labs, and class-wide doubt sessions approximately three times per week.
  • Reviewed assignments and projects, conducted evaluations, prepared learning material, and coordinated with instructors and program owners.
  • Programming
  • Discrete Mathematics
  • Web Development
  • DSA I–II
  • React
  • Linear Algebra
  • Probability & Statistics
  • Data Analytics
  • DBMS
  • Operating Systems

03 / Capabilities

A practical toolkit.

01

Backend & APIs

TypeScript, Node.js, Express, Java, Spring Boot, REST APIs, validation and service design.

02

Data & infrastructure

PostgreSQL, Supabase, MongoDB, SQLite, Redis, Docker, GitHub Actions and CI workflows.

03

Applied AI

LLM integrations, RAG pipelines, embeddings, vector search, machine learning and evaluation.

04

Product engineering

React, TypeScript, accessible interfaces, typed contracts, error states and responsive systems.

04 / Academic foundation

Coursework behind the craft.

My undergraduate work spans algorithms, systems, software design, mathematics, data, and modern AI engineering.

Foundations

Computer science

Programming · Data Structures & Algorithms I–IV · Discrete Mathematics

CS / 01
Systems

Architecture & design

Operating Systems · Computer Networks · Databases · Low-Level & High-Level Design

SYS / 02
Engineering

Web & application

Web Development I–II · Frontend Frameworks · MERN · Java & Spring Boot · Functional JavaScript

SWE / 03
Intelligence

AI, data & mathematics

Linear Algebra · Probability · Data Analytics · Machine Learning · Neural Networks · Computer Vision · Generative AI

AI / 04
View the complete coursework list
  • Introduction to Computer Programming
  • Web Development I and II
  • Frontend Frameworks
  • Data Structures and Algorithms I–IV
  • Discrete Mathematics
  • Linear Algebra
  • Probability and Statistics
  • Database Management Systems
  • Operating Systems and Concurrency
  • Computer Networks
  • Data Analytics
  • MERN Full-stack Development
  • Machine Learning Foundations
  • Advanced Machine Learning
  • Neural Networks and Computer Vision
  • Java and Spring Boot
  • Functional Programming with JavaScript
  • Low-Level Design
  • High-Level Design
  • Generative AI Engineering

05 / About

Student mindset.
Engineering standards.

I’m completing my undergraduate Computer Science studies while building software that behaves like a real system—not just a classroom demo.

My strongest work combines backend design with careful product decisions: explicit failure modes, validated boundaries, useful documentation, and tests that explain what should remain true.

I have also supported students as a paid, part-time Teaching Assistant across first-year Computer Science coursework and MERN full-stack development.

Institution
Scaler School of Technology
Degree-awarding university
BITS Pilani
Degree
B.Sc. in CSE
BITS degree graduation
2027
Scaler programme completion
2028
Current city
Hyderabad and Bengaluru, India
Understand→Design→Build→Test→Learn

06 / Next step

Have an engineering problem worth solving?

Open to thoughtful software engineering conversations, internships, and systems worth building carefully.

Start a conversationEmail meLinkedIn

Open to internships