Nehal Patil
I'm a Software Engineer
About
Hello! I'm Nehal, a graduate student with keen interest in software development and AI technologies. I am an active learner about new technologies, contributing to open-source initiatives, I am a data-driven decision-maker having a knack for breaking down complex challenges.
Skills
I possess a diverse skill set with software development and integrating/utilizing AI in existing applications. Proficient in writing efficient code and developing complex and distributed applications and constantly checking out open-source projects, I continually strive to expand my expertise. While this shows my technical expertise, I always strive to improve my management skills. Below is a snapshot of my key technical proficiencies.
Resume
Professional Experience
Software Development Intern
Feb 2025 - Present
Leap of Faith Technologies - Libertyville, IL | Remote
- Developed an innovative AI Tutor that tailors NABC Business plans, boosting strategic decision-making for diverse users.
- Leveraged Python, Streamlit, OpenAI, and Git to apply prompt engineering, making the AI Tutor experience more personalized & transformative.
- Mentored students in CS595 Healthcare Informatics course at Illinois Tech, fostering a dynamic learning environment.
Research Assistant
Jan 2025 - Present
Illinois Institute of Technology - Chicago, IL | Remote
- Research on blockchain workloads that handle large data, focusing on improving performance for various applications.
- Analyzing time-series databases to test how they perform and how to optimize them for real-world use cases.
- Learnt Proof of Space in blockchain consensus mechanisms to make them more efficient and secure.
- Find ways to increase data handling and performance in blockchain-based projects.
Software Engineer Fellow
Aug 2024 - Oct 2024
Headstarter AI - New York, NY | Remote
- Designed and developed 5+ AI-powered applications, leveraging ReactJS, NextJS, OpenAI, Pinecone, Vercel, AWS, Material UI, Firebase, and Stripe API to create seamless user experiences.
- Spearheaded the end-to-end development of Customer Support AI, Inventory Manager, Flashcards SaaS, and RateMyProfessor-like applications, following a microservices-based architecture for scalability and maintainability.
- Engaged in weekly mentorship sessions with engineers from Google, Y Combinator, Stanford, Amazon, Bloomberg, Capital One, and venture-backed startups, gaining insights into industry best practices, system design, and AI-driven innovation.
Software Development Intern
May 2024 - Aug 2024
Leap of Faith Technologies - Libertyville, IL | Hybrid
- Engineered a 40% efficiency improvement in OMOP data querying and cohort creation by integrating IMO ontology and LLM-based data extraction techniques.
- Revamped ETL pipelines, enhancing concept relationship mapping and incorporating ICD-9/10 search functionalities to retain critical clinical intent for healthcare data standardization.
- Collaborated with 4+ cross-functional teams, clinicians, and data scientists, ensuring alignment on project goals, efficient stakeholder communication, and seamless project tracking.
- Standardized clinical data mapping approaches in partnership with IMO, achieving a 25% reduction in mapping loss and ensuring greater consistency in healthcare informatics.
Graduate Research Assistant
Nov 2023 - Jan 2024
Illinois Institute of Technology - Chicago, IL | Remote
- Developed and implemented an LLM-driven predictive model to analyze 50+ infrastructure parameters, assisting engineers in determining whether bridges required reconstruction, maintenance, or demolition.
- Combined TensorFlow, Scikit-learn, and NLP techniques to enhance data processing capabilities, alongside a customized model utilizing OpenAI's ChatGPT, maximizing data interpretation and recommendation accuracy.
Member of Technical Staff
Aug 2021 - Aug 2023
Mindstix Software Labs - Pune, India | Hybrid
- Led the revamp of a large-scale e-commerce platform serving 2 million+ users, optimizing backend performance, user experience, and system scalability.
- Spearheaded the restructuring of a 100,000-line backend codebase, migrating to a cloud-based microservices architecture, resulting in a 40% reduction in response time and a 30% decrease in deployment time.
- Developed high-performance APIs that seamlessly integrated backend operations with a React-based frontend, ensuring real-time data updates and improved user interactivity.
- Implemented an advanced data indexing and manipulation algorithm, reducing latency to just 10 milliseconds, optimizing data retrieval and processing for large-scale applications.
- Integrated Docker-based CI/CD pipelines, automating testing, building, and deployment workflows, leveraging Docker Hub and Docker Registry for secure image management, significantly reducing deployment overhead.
- Worked extensively with a full-stack technology stack, including JavaScript (Node.js, React), Python (Flask, SQLAlchemy, RESTX, Pandas, Celery, Marshmallow), Azure, Docker, and Contentstack CMS to develop robust, scalable applications.
Software Engineering Intern
Nov 2019 - Mar 2020
Zensar Technologies - Pune, India | Onsite
- Mastered Java programming language through hands-on experience, developing a proficiency in various Java frameworks.
- Applied acquired knowledge to build multiple applications, showcasing practical skills and versatility in Java development.
- Demonstrated expertise in Java by successfully completing and delivering projects during my tenure at Zensar and while working on freelance assignments.
Education
Master of Science in Computer Science
Aug 2023 - Present
Illinois Institute of Technology, Chicago, USA
Key Courses: Algorithms, Data Mining, Natural Language Processing, Machine Learning, Computer Vision, Cloud Computing, Data Intensive Computing.
Bachelor of Engineering in Computer Engineering
Aug 2018 - Jun 2021
Savitribai Phule Pune University, Pune, India
Key Courses: C, Data Structures, Algorithms, Java, Software Modeling, High Performance Computing, Data Analytics, Database Management.
Diploma Holder, Computer Technology
Aug 2015 - Jul 2018
K. K. Wagh Polytechnic, Nashik, India
Grade: 72.04, Activities: Football, Events Co-ordinator
Portfolio
As a dedicated student, I actively engaged myself in the world of technology by constantly learning about new advancements and reading research papers.
- All
- Data Analysis
- AI/ML
- Web Development
- Agentic AI
- Robotics
- Research
Population per County, US
Skills: Python, Jupyter
Details: This is a visualisation of population of the United States.
This map shows the population in the country according to counties. It lists the population of the county & set
the color to the counties according to the specified number. This project uses pandas, iplot & figure_factory
python libraries.
Covid-19 Visualization
Skills: Python, Jupyter
Details: This is a visualisation of coronavirus cases found all over the world. In this the record of cases of coronavirus found around the world will be visualized. As we know the COVID-19 has spread thoughout the world now, the number of cases until June 2020 is shown in this map.
PREDICT PROBABILITY OF CONTACTING COVID-19
Skills: Python, Jupyter
Details: The probability of you getting exposed to COVID-19 is calculated in this project based on the state you live, number of patients in your city, your travel history, etc. You get a number indicating the percentage of probability of gettingexposed to the virus. It also calculates the chances of you acting as a carrier for the virus. The orange areas show the areas affected by the virus.
ML Studio
Skills: HTML, CSS, Javascript, Python3, Jupyter online
Details: ML Studio is a website designed by me & my team, which encompasses machine learning modules, made available to any user specifically for students to view, practice, & edit/get hands-on experience on those modules to understand some common ML modules & eventually get better at it.
Save Food
Skills: HTML, CSS, Javascript, MySQL
Details: Connects surplus food providers with local food banks and community organizations. Checkout the Devpost here.
RC Truck
Skills: Arduino, Android, Embedded systems
Details: Connected all the electronics & integrated and developed an android app to control the vehicle communicating with the bluetooth module onboard the vehicle, which communicated with the Arduino and motor drivers. The arduino operated all the electronics on the vehicle.
Time-Series Imputation System
Skills: Python, FastAPI, Machine Learning, Time Series Analysis
Details: Developed a system for imputing missing values in time-series data using a matrix-based lookup approach and decision tree for model selection. Supports multiple imputation methods from simple to advanced models including LLM APIs.
Cycle-Consistent GAN Implementation
Skills: Python, PyTorch, Computer Vision, Deep Learning
Details: Implemented and analyzed Cycle-Consistent GANs for unpaired image-to-image translation. Explored unsupervised learning techniques for domain transfer without paired data, replicating results from the original paper.
Contact
Feel free to reach out for collaboration, project inquiries, hiring, or any questions you may have.
Projects
Internships
Leetcode problems solved
Coffee Cups