Neelansh Khare's Portfolio

About Me

Hi, I’m Neelansh Khare (CS @ UCI CO’25) — a Software Engineer passionate about building intelligent, scalable systems that merge engineering precision with real-world impact.

My technical experience spans backend engineering, distributed systems, and AI/ML, shaped through roles at Polaris Wireless, UC Irvine’s Office of Information Technology, and He Lab, along with founding engineer work at NeuraCities, an AI startup focused on automating RFP discovery using LLM-driven infrastructure.

I’ve designed CI/CD pipelines, built internal developer tools, contributed to core enterprise features, and developed deep learning pipelines for scientific research — experiences that taught me how to move seamlessly from low-level systems design to production-scale deployment.

I thrive in fast-moving environments where curiosity, problem-solving, and long-term impact meet. My mission is to build software that endures — systems that automate, empower, and scale intelligently.

Experience

Software Engineer

Polaris Wireless — Santa Clara, CA

Sept 2025 – Present

Automating CI/CD pipeline with Python, Apache Ant, Jenkins, and shell scripting, improving reliability.
Engineering LLM-based features for core enterprise applications to enhance customer experience.

Early Engineer

NeuraCities — Startup | Aug 2025 – Present

Took ownership of infrastructure in a 2-person engineering team, driving core product development.
Constructed Python-based scraping pipeline, collecting data from 100+ government sources daily.
Integrated scraped data into an LLM-powered RAG system, ranking RFPs for client relevance.
Developed FastAPI + React full-stack dashboard, enabling real-time visualization of municipal datasets.
Piloted with an enterprise client; approved by Canadian Government for funding.

Software Engineer Co-op

University of California, Irvine — Irvine, CA

Jun 2022 – Jun 2025

Implemented Java/Gradle automation system; reduced manual reporting workload by 90% across 4 teams.
Designed RESTful API endpoints in Java, enabling full-stack integration and supporting 500+ weekly users.
Built a web scraping pipeline that centralized 10,000+ documents, cutting developer onboarding time by 30%.
Integrated React/Playwright test framework in CI/CD, lowering regression defects by 15%.
Created SQL/Java data anonymization tool for FERPA compliance, securing 30,000+ student records.
Automated repetitive workflows for BSAs by building custom scripting solutions, reducing time taken by 80%.

Undergraduate Researcher

He Lab, UC Irvine — Irvine, CA

Jan 2024 – Dec 2024

Produced deep-learning pipeline for nanoparticle motion prediction, contributing to a pending publication.
Trained CNN model for microscopic image analysis, achieving 91% accuracy on 10,000+ labeled samples.
Developed synthetic data generation pipeline to create labeled datasets, enabling robust model training.

Projects

AI Based Stock Trading

Python, REST APIs

Engineered an automated trading system utilizing Bard AI for market analysis and Schwab APIs for execution.
Implemented risk management algorithms with stop-loss mechanisms.
Developed real-time market monitoring system processing data from an exchange with sub-second latency.

View on GitHub

Object Recognition Script

Python, Matplotlib, OpenCV

Developed a real-time object detection system with 97% accuracy for household items using custom-trained CNN models.
Built a user-friendly GUI for real-time visualization and result logging using Matplotlib.

View on GitHub

Python Based Discord Bots

Python, REST APIs

Implemented competitive gaming features with PostgreSQL leaderboard system, driving 70% increase in user engagement.
Created automated moderation tools using natural language processing to maintain community guidelines.
Designed asynchronous event handling system for optimal performance during high-traffic periods.

View on GitHub

Compiler and Interpreter

Python

Built a fully-functional compiler/interpreter from scratch in Python that processed the low level language Tiny.
Implemented a lexer, parser, and the ability to add user defined functions and variables.

View on GitHub

AI File Organizer

Python

Used K-Means and Silhouette score to automatically sort files into automatically clustered folders.
Used cosine similarity score to automatically sort files into predefined folder groups.
Implemented text processing and embedding for 8 different file types.

View on GitHub

Skills & Technologies

Languages

Python Java JavaScript C++ C R Go

Frameworks & Technologies

React AWS TensorFlow JUnit RESTful APIs OpenCV Matplotlib

Developer Tools

SQL Git Docker Playwright PostgreSQL

Areas of Expertise

Machine Learning Computer Vision Software Engineering Full-Stack Development Data Processing Automation Testing & QA

Education

University of California - Irvine

B.S. Computer Science

Expected Graduation: June 2025

Relevant Coursework

Machine Learning & AI Data Structures and Algorithms System Design Data Management Compilers Software Engineering and Testing

Leadership & Activities

Software Developer (ICSSC)
President (Indian Subcontinental Club)
Google Developer Student Club
Data and Analytics for Sigma Pi
Software Developer for Legacy Robotics
Volunteer for ENGin

Contact

Feel free to reach out for collaboration opportunities, job inquiries, or just to say hello!

Email: kharen@uci.edu

Phone: 949-992-6803

LinkedIn: linkedin.com/in/neelansh-khare

GitHub: github.com/Neelansh-Khare

Portfolio: neelanshkhare.notion.site

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Neelansh Khare

About Me

Experience

Software Engineer

Early Engineer

Software Engineer Co-op

Undergraduate Researcher

Projects

AI Based Stock Trading

Object Recognition Script

Python Based Discord Bots

Compiler and Interpreter

AI File Organizer

Skills & Technologies

Languages

Frameworks & Technologies

Developer Tools

Areas of Expertise

Education

University of California - Irvine

Relevant Coursework

Leadership & Activities

Contact