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 Consultant
May 2025 - Present
Leap of Faith Technologies - Libertyville, IL | Remote
- Develop for/on OpenMRS base.
 - Mentored students in the CS595 - Healthcare Informatics course at Illinois Tech
 - Integrate Smart-on-FHIR & Keycloak Auth.
 - Java, Javascript, XML, OpenAI, Prompt Engineering, Git, Debugging, Docker, Multi-platform (Windows, MacOS, Linux), Postgres, MySQL, EHR, Compliance, etc.
 
Software Development Intern
Feb 2025 - May 2025
Leap of Faith Technologies - Libertyville, IL | Remote
- Developed AI Tutor to tailor NABC Business plans for end users.
 - Mentored students in the CS595 - Healthcare Informatics course at Illinois Tech
 - Making customized OMOP system available to clients.
 - Ensuring client OMOP databases are reliable by integrating Data Quality Dashboards with the system.
 - Python, Java, Javascript, Web frameworks (Node.js, Next.js, Express, React, Tailwind CSS), Streamlit, OpenAI, OpenRouter, Prompt Engineering, Git, Debugging, etc.
 
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
- Built 5+ AI projects with the goal to launch those MVPs to generate some revenue using Generative AI.
 - Handled design to deployment of these MVPs; with microservices, event-driven, SSR architectures.
 - Engaged in weekly mentorship sessions with engineers from Google, Y Combinator, Stanford, Amazon, Bloomberg, Capital One & venture-backed startups.
 - React.js, Next.js, OpenAI, OpenRouter, Pinecone, Vercel, AWS, Material UI, Firebase, Stripe.
 
Software Development Intern
May 2024 - Aug 2024
Leap of Faith Technologies - Libertyville, IL | Hybrid
- Enhanced OMOP data querying & cohort creation, leveraging IMO ontology and LLMs to improve efficiency.
 - Improved ETL processes & expanded concept relationships with ICD-9/10 search functionality to retain clinical intent.
 - Collaborated with IMO to enhance the mapping approach, to reduce mapping losses.
 - Stakeholder interaction, including cross-functional teams, clinicians, & data scientists, to gather requirements, present findings, and align on project goals & outcomes for efficient project tracking.
 
Graduate Research Assistant
Nov 2023 - Jan 2024
Illinois Institute of Technology - Chicago, IL | Remote
- Developed an LLM to analyze & recommend fixes for 50+ parameters.
 - Implemented code to recalculate parameters for 1000+ structures.
 - Automated data preprocessing to reduce manual analysis time.
 
Member of Technical Staff
Aug 2021 - Aug 2023
Mindstix Software Labs - Pune, India | Hybrid
- Migration of an e-com platform to cloud-based microservices to reduce response time & enhance scalability.
 - Optimized data indexing algorithms for the e-com backend to achieve sub-50ms query speeds & improve user experience.
 - Design 15+ RESTful APIs for an Analytics platform to enable real-time inventory tracking & reducing frontend latency.
 - Deployed Dockerized CI/CD pipelines, cutting deployment cycles from hours to minutes and improve team productivity.
 - Java, Spring Boot, Python, Flask (sqlAlchemy - ORM, restX, praetorian, marshmallow - ORM, migrate, Azure AD, celery, pandas), JS frameworks (Node.js, Next.js React.js, Vue.js), CMS(ContentStack), AWS, Azure.
 
Software Engineering Intern
Nov 2019 - Mar 2020
Zensar Technologies - Pune, India | Onsite
- Developed multiple applications using Java, demonstrating expertise in Java frameworks.
 - Delivered over 5 key features, significantly enhancing user experience and functionality.
 - Collaborated effectively with team members to meet project deadlines and objectives.
 
Education
Master of Science in Computer Science
Aug 2023 - May 2025
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