Open to software & analytics roles

Hi, I'm Nithish. I build products that are fast, thoughtful, and data-driven.

Information Technology undergraduate at IIIT Lucknow building data-driven full-stack products. I blend clean engineering with analytical thinking to ship things people actually use.

View my worknithishdeepala@gmail.com
Bangalore, India GitHub LinkedIn
Deepala Nithish at Flipkart
Flipkart · 2026

Software Engineer Intern

Deepala Nithish

Bangalore
8.5
CGPA at IIIT Lucknow
1000+
DSA problems solved
2008
CodeChef max rating
2026
Graduation
About

Engineer at heart, analyst by craft.

Ship with intent

I care about latency, UX, and correctness. Every feature has a reason and a measurable outcome.

Think in systems

From data models to rate limits, I design full systems — not just the happy path.

Design matters

Polished interfaces, motion, and typography compound into products that feel alive.

Experience

Real impact at real scale.

Software Development Engineer (Internship) ’26 · Flipkart

Bangalore, India

Jan 2026 — Present
  • Developed machine learning models using Python and Scikit-learn to predict high-risk deliveries and detect anomalies across large-scale logistics workflows.
  • Built scalable data preprocessing and feature engineering pipelines using Python and SQL to process millions of customer support and shipment records efficiently.
  • Automated issue detection workflows using LLM-based summarization and NLP pipelines for analyzing product reviews, support tickets, and agent interaction logs.
  • Improved operational efficiency by integrating ML-driven prediction and automation systems into internal monitoring and analytics tools.
PythonScikit-learnSQLLLMNLPAnalytics
Selected work

Products I've built end-to-end.

Full-stack parking reservation platform

ParkAndRide

A reservation system for metro parking lots with hourly, daily, and monthly bookings, real-time occupancy, dynamic pricing via a sigmoid demand model, and Stripe payments. Live on AWS EC2.

  • Improved slot allocation accuracy by 35%.
  • Dynamic pricing engine based on peak/off-peak demand.
  • JWT-secured REST APIs with Redis-backed caching.
  • Tiered cancellation policy with full test coverage.
Node.jsNext.jsMongoDBRedisStripeAWS EC2JWT
Live demo Source

AI-based facial skincare recommendation

AURA WELL

A full-stack web app that analyzes facial skin images and user inputs through ML models to return personalized skincare recommendations with a polished Material UI experience.

  • Webcam capture + interactive intake form on the frontend.
  • Flask backend performing skin tone & concern analysis.
  • Recommendation engine tuned for personalization.
  • Responsive, accessible, and smooth UX.
PythonFlaskReactMaterial UIML
Source
Impact

Competitive programming & recognitions.

Expert on Codeforces, Knight on LeetCode, 5-Star (2008 max) on CodeChef.

Global Rank 719 / 30k and multiple sub-1300 finishes on Codeforces.

Global Rank 23 / 20k on CodeChef contests.

Institute Rank 18 and 5-Star (2010) on GeeksforGeeks · Global Rank 246.

1,000+ DSA problems across LeetCode and GeeksforGeeks.

Advanced C++ Certificate (CodeChef) · Google Cybersecurity Certificate (Coursera).

Find me on

LeetCode

@DeepalaNithish

CodeChef

@ntihish9652

Codeforces

@devil_hydra_09

GeeksforGeeks

@nithishdeepala

GitHub

@nithish9652

Toolbox

Tech I use to ship things.

Languages

  • C++
  • Java
  • Python
  • JavaScript
  • TypeScript
  • SQL

Frontend

  • React
  • Next.js
  • Redux
  • Tailwind CSS
  • Material UI

Backend

  • Node.js
  • Express.js
  • Flask
  • REST APIs
  • JWT

Data

  • MongoDB
  • MySQL
  • Firebase
  • Redis

Cloud

  • AWS EC2
  • Stripe
  • Git
  • Linux

ML

  • Scikit-learn
  • Feature Engineering
  • Regression
  • Analytics
C++JavaPythonJavaScriptTypeScriptSQLReactNext.jsReduxTailwind CSSMaterial UINode.jsExpress.jsFlaskREST APIsJWTMongoDBMySQLFirebaseRedisAWS EC2StripeGitLinuxScikit-learnFeature EngineeringRegressionAnalyticsC++JavaPythonJavaScriptTypeScriptSQLReactNext.jsReduxTailwind CSSMaterial UINode.jsExpress.jsFlaskREST APIsJWTMongoDBMySQLFirebaseRedisAWS EC2StripeGitLinuxScikit-learnFeature EngineeringRegressionAnalytics
Education

Where I learned the fundamentals.

Indian Institute of Information Technology, Lucknow

B.Tech, Information Technology

Nov 2022 — Jun 2026CGPA 8.5 / 10

OS, Software Engineering, Computer Networks, ML, DSA, DBMS, OOPS.

Sri Chaitanya College, Vijayawada

Intermediate (12th)

Nov 2020 — Jul 202279.4%

Sri Chaitanya Techno School, Vijayawada

Secondary (10th)

Jul 2019 — Apr 202093.83%

Contact

Let's make something worth shipping.

Internships, product collaborations, or a quick chat about engineering and analytics — I'm all ears.

nithishdeepala@gmail.com +91 9247791415