Hi, I’m Neomi Sule, a machine learning engineer and data scientist based in College Park, Maryland. I’m pursuing an MS in Applied Machine Learning at the University of Maryland and hold a BTech in Computer Science with a focus on AIML from UPES. I specialize in NLP, computer vision, multimodal AI, LLMs, and building end-to-end ML pipelines that drive real-world impact across healthcare, automation, and data analytics. I’m passionate about turning data into practical solutions and bridging research with product outcomes. My experience spans AI fellowships, internships, and leadership on projects like an NLP-driven hospital review platform and an AI-powered interview coach, complemented by research published in IEEE on automated pretrained CNN models for Coloboma eyes.…

Neomi Sule

Hi, I’m Neomi Sule, a machine learning engineer and data scientist based in College Park, Maryland. I’m pursuing an MS in Applied Machine Learning at the University of Maryland and hold a BTech in Computer Science with a focus on AIML from UPES. I specialize in NLP, computer vision, multimodal AI, LLMs, and building end-to-end ML pipelines that drive real-world impact across healthcare, automation, and data analytics. I’m passionate about turning data into practical solutions and bridging research with product outcomes. My experience spans AI fellowships, internships, and leadership on projects like an NLP-driven hospital review platform and an AI-powered interview coach, complemented by research published in IEEE on automated pretrained CNN models for Coloboma eyes.…

Available to hire

Hi, I’m Neomi Sule, a machine learning engineer and data scientist based in College Park, Maryland. I’m pursuing an MS in Applied Machine Learning at the University of Maryland and hold a BTech in Computer Science with a focus on AIML from UPES. I specialize in NLP, computer vision, multimodal AI, LLMs, and building end-to-end ML pipelines that drive real-world impact across healthcare, automation, and data analytics.

I’m passionate about turning data into practical solutions and bridging research with product outcomes. My experience spans AI fellowships, internships, and leadership on projects like an NLP-driven hospital review platform and an AI-powered interview coach, complemented by research published in IEEE on automated pretrained CNN models for Coloboma eyes.

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Skills

Experience Level

Data Science
Expert
Python
Expert
PyTorch
Expert
TensorFlow
Expert
Keras
Expert
AWS
Expert
PostgreSQL
Expert
Docker
Expert
Laravel
Expert
Kubernetes
Intermediate
SQL
Intermediate
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Language

English
Fluent
Hindi
Fluent
Gujarati
Fluent
Marathi (Marāṭhī)
Fluent

Work Experience

AI Fellow at Handshake
September 1, 2025 - December 1, 2025
Trained LLMs through systematic output evaluation and RLHF to improve reasoning quality, reliability, and model alignment.
AI Technology & Development Intern at LindaBen Foundation Inc.
June 1, 2025 - August 1, 2025
Led end-to-end development as the sole technical lead and built a fine-tuned LLM pipeline for workflow automation. Reduced manual workflows by 90%, automated scheduling with cron jobs and mail reminders, and created a recommendation engine to generate inventory-aware meal plans, reducing food waste by 88%.
Data Analyst and Consultant Intern at Netlink IT Consultancy Pvt. Ltd
May 1, 2024 - July 1, 2024
Visualized multi-source data into interactive, Excel-exportable dashboards, enabling stakeholders to extract data offline. Partnered with clients to design AI systems that led profit growth across 45+ strategic decisions.
Training Intern at Reliance Industries
March 1, 2024 - April 1, 2024
Boosted data interpretation by 83% and reduced decision latency by 64% through real-time interactive visualization pipelines. Accelerated project delivery by aligning stakeholders on technical trade-offs and reducing decision bottlenecks.
Technology Development Intern, Project Leader at Optum Global Solutions
June 1, 2023 - August 1, 2023
Led a team of 3 to build an NLP-driven hospital review platform, winning the Best 'Shark Tank Presentation' among 35 teams. Addressed 120+ bugs and designed a POC for CodeQL, resulting in a 75% reduction in security vulnerabilities.

Education

Master of Science in Applied Machine Learning at University of Maryland
August 1, 2024 - May 1, 2026
Bachelor of Technology in Computer Science Engineering, Major: AIML at UPES School of Advanced Engineering
September 1, 2020 - May 1, 2024

Qualifications

Add your qualifications or awards here.

Industry Experience

Software & Internet, Education, Professional Services
    IntervAI

    https://www.twine.net/signin

    Interviewing is one of the biggest hurdles for students, yet most struggle not because they lack technical ability, but because they rarely receive actionable feedback. I wanted to bridge that gap by building IntervAI, an AI-powered interviewer that simulates realistic, low-latency interview conversations using LLMs, real-time speech processing, and adaptive follow-up questions. Instead of simply asking questions, it provides personalized insights on communication, technical responses, and overall performance, helping users improve with every practice session.