Neelansh Khare - Software Engineer & Machine Learning Enthusiast

About Me

I am a Software Engineer at Polaris Wireless, specializing in backend systems and distributed infrastructure. I previously worked as a Software Engineer Co-op at the University of California, Irvine, where I developed automation systems and full-stack applications.

My technical expertise spans Python, Java, and C++, with a strong focus on building scalable APIs, data pipelines, and orchestration tooling. I have experience with technologies like Hadoop, Spark, Kafka, and Kubernetes in enterprise environments.

I am also passionate about AI and Machine Learning. As an Undergraduate Researcher at the He Lab, I architected deep learning pipelines for scientific applications. I enjoy working on projects that bridge the gap between complex infrastructure and intelligent systems.

Beyond coding, I am an active community leader, having served as President of the Indian Subcontinental Club and contributed to organizations like ICSSC and Legacy Robotics.

Experience

Software Engineer

Polaris Wireless

Sept 2025 - Present

Built Python/Bash CLI orchestration tooling to deploy Hadoop, HBase, Spark, ZK, and ClickHouse across multi-VM RHEL clusters, reducing setup time by 97% from 7 days to 4 hours.
Designed topology-aware configuration generation and automated bootstrap/validation pipelines enabling reproducible cluster bring-up across client environments.
Implemented fault-tolerant, role-aware health checks and SSH-based orchestration to detect and recover from partial cluster failures.

Founding Engineer

Neuracities

Aug 2025 - Nov 2025

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 data into an LLM-powered RAG system, with ranking logic to surface high-relevance RFPs.
Developed FastAPI + React fullstack dashboard, enabling real-time visualization of municipal datasets.

Software Engineer Co-op

University of California, Irvine

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 fullstack integration, supporting 500+ weekly users.
Built a web scraping pipeline that centralized 10000+ 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.

Undergraduate Researcher

He Lab, UC Irvine

Jan 2024 - Dec 2024

Architected an end-to-end deep learning pipeline for nanoparticle motion prediction, including dataset preparation and release.
Trained CNN model for microscopic image analysis, achieving 91% accuracy (a 4% increase) on 9000+ samples.
Developed synthetic data generation pipeline to create 10,000+ labeled images, enabling robust training.

University of California, Irvine

B.S. Computer Science

2021 - 2025

Irvine, CA

Leadership

Community leadership and mentorship roles where I've made an impact.

President, Indian Subcontinental Club

Led the largest cultural organization on campus, managing a board of 30 members and organizing events for 500+ attendees.

Software Developer, ICSSC

Contributed to the development of student-focused applications and tools.

Software Developer, Legacy Robotics

Computer Vision developer on a competitive robotics team

Data & Analytics, Sigma Pi

Analyzed fraternity data to optimize recruitment, event planning, and finances.

Volunteer, SF Civic Tech

Helped with the SF Safehome project website and backend.

Projects

Auto Budget

TypeScript, React, Node.js, LLMs

Automated personal finance tool that syncs transactions and categorizes them using LLMs.
Implemented secure integration with banking APIs and Google Sheets for real-time tracking.
Built a responsive dashboard to visualize spending habits and budget goals.

JobSearchAI

Python, AI Agents

AI-powered job search assistant that automates job discovery and application processes.
Utilizes advanced scraping and filtering to find relevant job postings based on user criteria.

Academia Hub

React, Supabase, AI Services

Comprehensive academic networking platform connecting students, researchers, and institutions.
Features include project collaboration tools, profile management, and AI-driven match recommendations.

Trading Script (Bard & Schwab)

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 and real-time market monitoring.

Compiler and Interpreter

Python

Created full compiler/interpreter for Tiny language including lexer, parser, and semantic analyzer.
Implemented raw source processing to executable code with error handling.

Search Engine

Python

Implemented indexing, ranking, and query processing for large text corpora with sub-second response.
Optimized for high performance retrieval on custom datasets.

Fablix

Java, Servlets, MySQL, AWS

Full-stack e-commerce web application for browsing and purchasing movies.
Features robust search functionality, user authentication, and shopping cart management.