Naman Nimbale — AI Researcher

Tech-savvy Software Engineer turned AI aficionado, specializing in Machine Learning. My current mission? Pioneering robust geo-foundation models, pushing the limits of computer vision and satellite imagery. Previously, I cracked the code on single-cell gene regulatory networks, sharpening the precision of transcription factor activity predictions using deep learning. Always curious, always learning—on a quest to transform complex data into actionable insights. In addition to my research, I led lab sessions for a graduate-level ML in Bioinformatics course, equipped students with cutting-edge machine learning and deep learning skills. This Fall 2024, I’m excited to step up as Head TA for Database Concepts, where I’ll be guiding students through the intricacies of databases and sparking their curiosity in data management. As an AI Software Engineer at NableIT, I brought machines to life—literally! From crafting cutting-edge computer vision applications—from intuitive recipe suggestions for your fridge to fabric detection models that keep washing machines smart. I engineered a TensorFlow-powered facial recognition attendance system, complete with a sleek web interface using Flask. My expertise extends to optimizing inventory through predictive analytics and crafting interactive, query-driven dashboards using jQuery and Flask on AWS. I’m also intrigued by backend web development with Django and have a good grasp of designing APIs according to industry standards. Actively looking for 2025 summer internships in research intern, data science or machine learning roles. I play violin in my free time, like to read and, sketch.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Data Science.

Location: Bloomington, Indiana, United States

Experience: 6 yrs 3 mos

Skills

Computer Vision
Machine Learning
Teaching
Gene Regulation
Data Analysis
Software Engineering
Research

Career Highlights

Pioneered geo-foundation models in AI research.
Developed a facial recognition attendance system improving accuracy by 60%.
Delivered predictive analytics yielding significant cost savings.

Work Experience

Indiana University Luddy School of Informatics, Computing, and Engineering

Research Assistant (1 yr 10 mos)

Associate Instructor (4 mos)

Research Assistant (1 yr 8 mos)

Great Learning

Mentor (1 yr)

Nable IT

AI Software Engineer (1 yr 3 mos)

Freelance

Data Scientist (10 mos)

Tata Consultancy Services

Assistant System Engineer (7 mos)

Indian National Centre for Ocean Information Services (INCOIS)

Summer Research Fellow (2 mos)

Education

Doctor of Philosophy - PhD at Indiana University Bloomington

Master of Science - MS at Indiana University Bloomington

Bachelor of Technology (B.Tech.) at Indian Maritime University, Visakhapatnam

High School at Prestige Public School - India

Naman Nimbale

AI Researcher

Bloomington, Indiana, United States6 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Pioneered geo-foundation models in AI research.
Developed a facial recognition attendance system improving accuracy by 60%.
Delivered predictive analytics yielding significant cost savings.

Stackforce AI infers this person is a Machine Learning Engineer with expertise in Computer Vision and Data Science.

Contact

naman.2n@gmail.com LinkedIn

Skills

Core Skills

Computer VisionMachine LearningTeachingGene RegulationData AnalysisSoftware EngineeringResearch

Other Skills

AlgorithmsAnacondaC++Data ScienceData StructuresDatabasesDjangoFlaskHTMLImage ProcessingInventory OptimizationManagementMicrosoft ExcelMicrosoft Power BIMicrosoft PowerPoint

About

Experience

Indiana university luddy school of informatics, computing, and engineering

3 roles

Research Assistant

Promoted

May 2024 – Present · 1 yr 10 mos · Bloomington, Indiana, United States · On-site

Currently pioneering cutting-edge geo-foundation models, pushing the limits of computer vision and satellite imagery. Leveraging computer vision and deep learning to enhance flood mapping accuracy.

PyTorchComputer VisionMachine Learning

Associate Instructor

Jan 2024 – May 2024 · 4 mos · Bloomington, Indiana, United States · On-site

Guided ML in Bioinformatics lab sessions, igniting graduate students' passion for machine learning and deep learning. Expertly managed assignments, grades, and evaluations.

PyTorchMachine LearningTeaching

Research Assistant

Sep 2022 – May 2024 · 1 yr 8 mos · Bloomington, Indiana, United States · On-site

o Crafted ML algorithms for deciphering single-cell gene regulation frameworks.
o Engineered a PyTorch-driven solution, boosting precision in transcription factor activity estimation.

PyTorchGene RegulationUnsupervised LearningMachine Learning

Great learning

Mentor

Jan 2022 – Jan 2023 · 1 yr · Delhi, India

Conducting online classes for industry professionals on Great Learning on data structures and algorithms using python, web-development using flask and machine learning.

PythonObject-Oriented Programming (OOP)Data AnalysisTeaching

Nable it

AI Software Engineer

Apr 2021 – Jul 2022 · 1 yr 3 mos · New Delhi, Delhi, India

Text Processing Prototype Development for a Leading Bank
o Spearheaded the prototype development for a text processing system, employing deep learning frameworks, computer vision, and Tesseract for application form automation
AI Smart Appliance Development with major appliances R&D Department.
o Contributed to the creation of AI smart appliances, focusing on fabric type detection through computer vision and TensorFlow.
o Involved in building facial and speech emotion recognition models using TensorFlow.
Facial Recognition Attendance System for Manufacturing Factories
o Revolutionized facial recognition-based attendance system with deep learning and computer vision, complemented by an interactive Flask dashboard, bolstering employee attendance log accuracy by 60% for valued clients.
Predictive Analytics in Warehouse Management for a Prominent Automobile Company.
o Delivered 40% accuracy boost and 65% daily serviceability improvement for leading automobile company’s warehouse management system, yielding 7.5 Billion INR savings. Applied ARIMA, machine learning, and deployed Flask-based web dashboard on AWS.
My general duties included data gathering, analysis, visualizations, developing machine learning models, and web applications using Flask and Django.

PythonTensorFlowMachine LearningImage ProcessingFlaskInventory Optimization+1

Freelance

Data Scientist

May 2020 – Mar 2021 · 10 mos · Pune, Maharashtra, India

I worked on projects involving computer vision and natural language processing as well as developing WordPress websites.

OpenCVC++FlaskMachine LearningData SciencePattern Recognition+2

Tata consultancy services

Assistant System Engineer

Jul 2019 – Feb 2020 · 7 mos · Gurgaon, Haryana

I was a part of TCS-IoT team. My duties included structural modelling in python and making feasibility reports of various ship structures. My analysis and insight generation of ship’s structural data helped the team to reduce the steel weight up to 10%.

PythonData AnalysisSoftware Engineering

Indian national centre for ocean information services (incois)

Summer Research Fellow

May 2018 – Jul 2018 · 2 mos · Hyderabad, Telangana, India

I conducted research and performed data analysis under Dr. Sudheer Joseph, on Sea Level Anomalies and generated plots using Python and Ferret. Also, I published a paper on AuthorCafe.com, under the heading “Understanding Sea Level Anomalies(SLA) and Oceanic processes associated with it in Indian Ocean".

PythonData AnalysisResearch