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AI Engineer | Computer Vision & LLM Specialist
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AI Engineer with 6+ years building intelligent systems from research to production. I specialize in computer vision, machine learning, and explainable AI, with experience scaling solutions from edge devices to cloud platforms. My passion lies in bridging cutting-edge research with real-world impact – whether it's developing novel AI frameworks, optimizing models for production deployment, or creating systems that process thousands of data points daily. I've contributed to securing millions in funding.
Arizona State University
Master of Science - MS, Robotics and Autonomus Systems (Artificial Intelligence)
August 1, 2023 – May 1, 2025
University of Mumbai
Bachelor of Engineering - BE, Computer Engineering
January 1, 2015 – January 1, 2019
TWG AI
Senior Data Scientist
September 1, 2025 – Present
Santa Monica, California, United States · On-site
Stealth Startup
AI Engineer
February 1, 2025 – May 1, 2025
San Francisco Bay Area · Remote
RagaAI Inc
AI Researcher
June 1, 2024 – August 1, 2024
Fremont, California, United States
Teuvonet Technologies
Research Assistant
October 1, 2023 – September 1, 2025
Tempe, Arizona, United States · On-site
RagaAI Inc
Senior Data Scientist
March 1, 2023 – August 1, 2023
RagaAI Inc
Data Scientist
January 1, 2022 – March 1, 2023
Biocliq AI - AI for Medical Imaging
Deep Learning Engineer
October 1, 2021 – January 1, 2022
Bengaluru, Karnataka, India
UncannyVision Solutions
Deep Learning Engineer
June 1, 2019 – July 1, 2021
Bengaluru
Tata Consultancy Services
Software Engineering Intern
June 1, 2018 – August 1, 2018
Mumbai Area, India
U-Net-Based Tumor Segmentation in Pre-Operative MRI Scans
November 1, 2021 – December 1, 2021
Utilized data augmentation techniques on preprocessed 3D MRI brain tumor scans from BRATS2020 dataset. Employed a U-Net-based model with Dice Loss for glioma segmentation in MRI scans, achieving an average precision of 88.6% on test set.
Disease prediction engine
February 1, 2019 – March 1, 2019
A web project to predict user's disease on the basis of symptoms selected. Developed as an API and can be accessed through the developed web application.
Career Counseling Chatbot for engineers
August 1, 2018 – April 1, 2019
Developing a chatbot for Engineering students which helps them to select their career choice like M.S., M.Tech, IAS, IES, MBA and jobs.
Live Face Recognition
June 1, 2018 – July 1, 2018
Implemented Facenet Neural Net architechture for live face detection and recognition from webcam feed. Used Tensorflow and OpenCV on Python
Self Driving Car on Udacity Simulator
April 1, 2018 – June 1, 2018
Implemented a CNN model based on research paper published by NVIDIA to determine the steer angle, gas and breaks for the car in the emulator space based on the footage provided by the cameras in the simulator.
Dress detection
April 1, 2018 – May 1, 2018
Classifier based on scaled down version of vggnet which detects whether the dress is a skirt, jeans, shirt or a pant
File Transfer Application
February 1, 2018 – March 1, 2018
This project aimed at transferring files between computers on a network. Implemented using java and similar to a FTP server
Deep Learning Specialization
DeepLearning.AI
June 25, 2026 – Present
Python Parallel Programming Solutions
June 25, 2026 – Present
Develop Your Data Analysis Skills
June 25, 2026 – Present
Advance Your Skills in AI and Machine Learning
June 25, 2026 – Present
Amazon Web Services Machine Learning Essential Training
June 25, 2026 – Present
Google Cloud Platform for Machine Learning Essential Training
June 25, 2026 – Present
Learning Amazon SageMaker
June 25, 2026 – Present
OpenCV for Python Developers
June 25, 2026 – Present
Machine Learning for Marketing: Essential Training
June 25, 2026 – Present
Python: Advanced Design Patterns
June 25, 2026 – Present
Python: Design Patterns
June 25, 2026 – Present
Computer Vision - Object Detection with OpenCV and Python
Coursera
June 25, 2026 – Present
Sequence Models
DeepLearning.AI
June 25, 2026 – Present
Convolutional Neural Networks
Coursera
June 25, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 25, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
DeepLearning.AI
June 25, 2026 – Present
Python Basics
Udemy - Programming Academy
June 25, 2026 – Present
Artificial Intelligence Program
Surge, One Bit Technology
June 25, 2026 – Present
Data Science A-Z
Udemy - Programming Academy
June 25, 2026 – Present
Machine Learning A-Z
Udemy Academy
June 25, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 25, 2026 – Present
Career Essentials in Generative AI by Microsoft and LinkedIn
Microsoft
June 25, 2026 – Present
DSPy: Build and Optimize Agentic Apps
DeepLearning.AI
June 25, 2026 – Present
Reinforcement Fine-Tuning LLMs With GRPO
DeepLearning.AI
June 25, 2026 – Present
Knowledge Graphs for RAG
DeepLearning.AI
June 25, 2026 – Present
Improving Accuracy of LLM Applications
DeepLearning.AI
June 25, 2026 – Present
LangChain Chat with Your Data
DeepLearning.AI
June 25, 2026 – Present
MATLAB for Data Processing and Visualization
MathWorks
June 25, 2026 – Present
MATLAB Programming Techniques
MathWorks
June 25, 2026 – Present
Solving Ordinary Differential Equations with MATLAB
MathWorks
June 25, 2026 – Present
MATLAB Fundamentals
MathWorks
June 25, 2026 – Present
RCR - Graduate Student and Postdoctoral Researcher Responsible Conduct of Research
CITI Program
June 25, 2026 – Present
Data or Specimens Only Research
CITI Program
June 25, 2026 – Present
Introduction to Artificial Intelligence
June 25, 2026 – Present
Streamlining Your Work with Microsoft Bing Chat
June 25, 2026 – Present
Generative AI: The Evolution of Thoughtful Online Search
June 25, 2026 – Present
Ethics in the Age of Generative AI
June 25, 2026 – Present
Learning XAI: Explainable Artificial Intelligence
June 25, 2026 – Present
What Is Generative AI?
June 25, 2026 – Present
Open Water Scuba Diver
SSI Scuba Schools International
June 25, 2026 – Present
HPC Shiksha : Basics of High Performance Computing
National Supercomputing Mission (NSM) - India
June 25, 2026 – Present
Robotics: Perception
University of Pennsylvania
June 25, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio is heavily skewed towards AI, Machine Learning, and Computer Vision, which aligns well with roles requiring deep technical expertise in these areas. The target role is 'Data Analyst', which, while related, typically emphasizes data manipulation, statistical analysis, and reporting more than advanced AI model development and deployment. While the candidate has 'Data Analysis' and 'Analytical Skills' listed in some past roles, the primary focus of their experience and projects is on AI/ML engineering and research. This suggests a potential mismatch with the core responsibilities of a traditional Data Analyst role, which might require a different skill emphasis (e.g., advanced SQL, BI tools, statistical modeling for business insights). The breadth of AI/ML projects indicates a strong passion for the field, but the diversity of projects outside of AI/ML is limited. The candidate's experience is more aligned with a Data Scientist or AI Engineer role.
Soft Skills & Operational Fit
The candidate's project descriptions and work experience highlight a strong focus on technical execution and problem-solving. While direct soft skill assessment data is not available, the collaborative nature of some projects (e.g., 'Collaborated cross-functionally to develop the RagaAI platform') suggests an ability to work in teams. The detailed descriptions of technical achievements imply a results-oriented approach. However, without specific psychometric or communication test results, a comprehensive assessment of soft skills and operational fit is limited.