Heer Patel

I'm AI/ML Engineer

About

Passionate AI/ML engineer with expertise in computer vision, natural language processing, and deep learning. Currently pursuing M.S. in Artificial Intelligence at Boston University with hands-on experience in developing innovative AI solutions.

AI/ML Engineer & Research Specialist

Dedicated to advancing artificial intelligence through innovative research and practical applications. Specializing in computer vision, natural language processing, and multimodal machine learning with a focus on real-world problem solving.

  • Degree: M.S. Artificial Intelligence
  • Institution: Boston University
  • Expected Graduation: Jan 2026
  • Availability: Open to Opportunities

Currently working as a Computational Neuroscience TA at Boston University, leading lab sessions and guided student projects involving neural modeling and Python-based simulations. Previously interned at The GenAI Collective, SAP, and RadicalX, gaining hands-on experience in semantic matching engines, resume-job matching tools, and AI career coaching systems.

Projects AI/ML & Research

Users Impacted AI Career Coach

Detection Accuracy Computer Vision

Research Papers Published & In Progress

Skills

Technical expertise in AI/ML, computer vision, natural language processing, and software development

Python 95%
Machine Learning 90%
Computer Vision 85%
Natural Language Processing 80%
Deep Learning 85%
Data Science 80%
Java/C++ 75%
Web Development 70%

Resume

Comprehensive background in artificial intelligence, machine learning, and research with hands-on experience in developing innovative AI solutions.

Summary

Heer Patel

Innovative and results-driven AI/ML engineer with expertise in computer vision, natural language processing, and deep learning. Currently pursuing M.S. in Artificial Intelligence at Boston University with hands-on experience in developing cutting-edge AI solutions and conducting research in vision-language navigation and sentiment analysis.

  • Boston, MA
  • (617) 359-2146
  • heer29@bu.edu

Education

M.S. Artificial Intelligence

2024 - 2026

Boston University, Boston, MA

Relevant Courses: Artificial Intelligence, Principles of Machine Learning, Introduction to Natural Language Processing, Image and Video Computing, Multimodal Machine Learning, Computational Tools for Data Science

B.E. Computer Science (AI/ML)

2020 - 2024

Gujarat Technological University, Gujarat, India

Relevant Courses: Data Structures and Algorithms, Database Management Systems, Operating Systems, Fundamentals of AI, Machine Learning Essentials, Image Processing, Internet of Things, Deep Learning, Big Data Analytics, Natural Language Processing, AI in Healthcare and FinTech

Professional Experience

Computational Neuroscience TA

June 2025 - Present

Boston University, Boston, MA

  • Leading lab sessions and guided student projects involving neural modeling, basic electrophysiology, and Python-based simulations
  • Facilitating group discussions on key neuroscience concepts including action potentials, synaptic signaling, and sensory-motor systems

Artificial Intelligence Intern

Jan 2025 - May 2025

The GenAI Collective, Boston, MA

  • Developed a semantic matching engine integrating community rules and logistics, improving match precision (>0.7 cosine similarity)
  • Reduced runtime by 50% using constraint-based grouping and prevented match duplication
  • Maintained a 7-day SLA for batch processing with an 85% approval rate

Artificial Intelligence Intern

Jan - Apr 2024

SAP - GTU Code Unnati, Ahmedabad, Gujarat

  • Engineered a resume-job matching tool with keyword alignment and experience scoring, boosting accuracy by 15%
  • Automated interview analysis for soft skills using AI, achieving 87% accuracy

Artificial Intelligence Intern

Nov 2023 - Jan 2024

RadicalX, Ahmedabad, Gujarat

  • Leveraged OpenAI, VertexAI, and TensorFlow to enhance AI career coach for 500+ users
  • Designed models using VAE, GAN, LSTM for personalized career paths

Portfolio

Showcasing innovative AI/ML projects, research work, and technical solutions that demonstrate expertise in computer vision, natural language processing, and deep learning.

  • All
  • AI/ML
  • Research
  • Computer Vision
  • NLP

Real-time Lane Traffic Density Detection

Computer Vision & Deep Q-Learning

UnMask - Face Recognition through Obfuscation

Siamese Neural Networks & ResNet18

Vagueness Analysis of VLN Models

Vision-Language Navigation Research

Sequential Sentiment Analysis on Video Transcripts

Emotion Classification & LCA

Semantic Matching Engine

Community Rules & Logistics Integration

Resume-Job Matching Tool

Keyword Alignment & Experience Scoring

Services

Comprehensive AI/ML solutions and research expertise across computer vision, natural language processing, and deep learning applications.

Computer Vision Solutions

Real-time object detection, facial recognition systems, traffic analysis, and image processing applications using state-of-the-art deep learning models.

Natural Language Processing

Sentiment analysis, text classification, semantic matching, and language model development for various applications and use cases.

Machine Learning Development

Custom ML model development, data preprocessing, feature engineering, and model optimization for business applications.

AI Research & Analysis

Research in vision-language navigation, multimodal learning, and AI model evaluation with statistical analysis and validation.

Software Development

Full-stack development with Python, Java, C++, and web technologies for AI-powered applications and systems.

AI Consulting & Training

Technical consulting, AI strategy development, and educational training sessions for organizations and academic institutions.

Research & Publications

Academic research and publications in AI/ML and computer vision

Vagueness Analysis of VLN Models - Designed and validated a vagueness-aware evaluation framework for vision-language navigation, showing that specificity in instructions strongly correlates with success across models.

Vision-Language Navigation Research

Boston University | 2025

Sequential Sentiment Analysis on Video Transcripts - Developed a system to analyze emotional tone in video transcripts using minute-by-minute emotion classification with LCA and Loopy Belief Propagation.

Sentiment Analysis Research

Boston University | 2024

Real-time Lane Traffic Density Detection - Processing live webcam footage with YOLOv8n and Deep Q-Learning framework, achieving >90% detection accuracy and reducing travel time by 15-25%.

Computer Vision Project

Technical Project | 2024

Contact

Get in touch for AI/ML projects, research collaborations, or professional opportunities

Address

Boston, MA, United States

Call Us

(617) 359-2146

Email Us

heer29@bu.edu

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