Sagar Gandhi

AI Researcher

Seattle, WA, USA12 yrs experience

Most Likely To Switch

Key Highlights

Expert in Machine Learning and Deep Learning technologies.
Proven track record in developing scalable systems.
Strong experience in Computer Vision and NLP applications.

Stackforce AI infers this person is a Machine Learning and Computer Vision expert in the SaaS industry.

Contact

gandhi.sagar.gs@gmail.com LinkedIn

Skills

Core Skills

Machine LearningDeep LearningMl Platform DevelopmentProduct DevelopmentSearch Engine OptimizationNatural Language ProcessingComputer ScienceComputer Vision

Other Skills

API DevelopmentAlgorithmsAutoMLCC++C++ LanguageCOMComputational StorytellingContext PredictionConvolutional Neural NetworkData StructuresDialogue ManagerEmbedded SystemsFeature StoreGoogle Search

About

Software Engineer with strong hands on experience using C, C++, Python on OS Native and Cloud Native Platforms. Excellent knowledge of Microservices, Scalable Systems, Deep Learning, Machine Learning, Computer Vision, Natural Language Processing, Image Processing, Computer Graphics, and Operating System Internals. Hands on experience in Computer Vision techniques and algorithms for segmentation, object detection, recognition. Natual Language Models, Sequence Processing, Encoder-Decoder Models, Information Extraction, Chatbots and Dialogue Systems, Semantic Parsing, Deep Learning, Generative Models, Sequencial Models, Random Forest Models, Feature Engineering Computer Graphics, Rendering, OpenGL, OpenGL ES, Shaders, GLSL Scalable, Available and Consistent Systems, Event Driven Systems

Experience

12 yrs

Total Experience

1 yr 7 mos

Average Tenure

2 yrs 5 mos

Current Experience

Joyspace ai

Staff ML Engineer

Jan 2024 – Present · 2 yrs 5 mos · Seattle, WA

Multimodal Video Intelligence Pipeline
Multimodal Search
SOTA LLM and other deep model's training, fine-tuning, and adaptation

Multimodal Video Intelligence PipelineMultimodal SearchSOTA LLMdeep model trainingfine-tuningadaptation+2

Start- up

Staff ML Engineer at a Startup

Jan 2022 – Jan 2023 · 1 yr · Canada

ML platform with Feature Store, explainability (SHAP), LightGBM, AutoML
Kubeflow for orchestration

ML platformFeature StoreexplainabilitySHAPLightGBMAutoML+3

Stealth

Lead Engineer

Jan 2021 – Jan 2022 · 1 yr · Remote · Remote

launched ML flagship products for the company.
Internal tools increasing efficiency for cross-functional teams, mentored Jr and Sr engineers.

ML flagship productsInternal toolsmentoringMachine LearningProduct Development

Google

Software Engineer

Feb 2019 – Sep 2020 · 1 yr 7 mos · Mountain View, CA · On-site

Google Search - Personalization, Query Repeatability, Search Ranking
Context Prediction based on signals

Google SearchPersonalizationQuery RepeatabilitySearch RankingContext PredictionSearch Engine Optimization+1

Dmai

Natural Language Processing Research Engineer Intern

Jan 2018 – Jan 2018 · 0 mo

Named Entity Recognition, NLP, Reinforcement learning, Dialogue Manager, NLG
Developed dialogue manager using reinforcement learning
Developed Natural Language Generation (NLG) server forked from Alex Dialogue Systems Framework

Named Entity RecognitionNLPReinforcement learningDialogue ManagerNLGNatural Language Processing+1

University of kentucky

Research And Teaching Assistant

Jan 2017 – Jan 2018 · 1 yr · Lexington, Kentucky Area

TA - Systems Programming (4XX level)
Worked on Computational Storytelling, Probabilistic Graphical Models, ML, Tensorflow, PyTorch, NLP, Computer Vision, Statistics
Gandhi, Sagar, and Brent Harrison. "Guided open story generation using probabilistic graphical models." In Proceedings of the 14th International Conference on the Foundations of Digital Games, pp. 1-7. 2019.
Li, Chengxi, Sagar Gandhi, and Brent Harrison. "End-to-end let's play commentary generation using multi-modal video representations." In Proceedings of the 14th International Conference on the Foundations of Digital Games, pp. 1-7. 2019
Al Nahian, Md Sultan, Tasmia Tasrin, Sagar Gandhi, Ryan Gaines, and Brent Harrison. "A Hierarchical Approach for Visual Storytelling Using Image Description." In International Conference on Interactive Digital Storytelling, pp. 304-317. Springer, Cham, 2019.

Systems ProgrammingComputational StorytellingProbabilistic Graphical ModelsMLTensorflowPyTorch+5

Packt publishing

Reviewer - Deep Learning with Python

Jan 2015 – Jan 2016 · 1 yr · Pune Area, India

See information here: http://www.sagargandhi.com/deep_learning_review.png

Persistent systems

Sr. Software Engineer

Jan 2013 – Jan 2017 · 4 yrs · Pune, India

Developed Real-time classification of vehicles using a Deep Learning for automatically deciding the timing of traffic signals resulting in optimization transit time by 20%.
Devised an indoor and outdoor Smart Parking System using Haar cascade and Image Processing techniques
Performed classification of social media images based on emotions using Convolutional Neural Network (CNN).
Designed and implemented medical diagnosis system using Probabilistic Graphical Models in Python to diagnose non-severe diseases.
Engineered and developed Office Automation Suite based on Kinect V2, using C++, COM, and STL.
Developed OCR System using OpenCV for handwritten character recognition.
Built a model for classification of TNBC cancer using Machine Learning.
Developed, trained and tested Machine Learning models using Scikit Learn for hand pose recognition.
Hand segmentation and tracking hand on RGB camera achieving 92.42% success rate
Real-time hand pose recognition on Android using Machine Learning techniques
Created innovative domain oriented Gesture Library for Kinect for Windows. Worked as Lead programmer for gestures using C++.
Built apps using COM model and C++ for Kinect for Windows. For e.g. MS Powerpoint slides using simple gestures, Windows Media Player using completely hands-free gestures, MS Paint In-Air drawing.

Deep LearningImage ProcessingConvolutional Neural NetworkProbabilistic Graphical ModelsMachine LearningC+++3

Sterling systems

Software Engineer

Jan 2012 – Jan 2013 · 1 yr · Pune Area, India

Using C++, STL, OpenGL and OpenCV developed innovative Augmented Reality product targeting education industry.
Developed Polygon Reduction Tool for reducing number of polygons by 50%-75% using C++ and OpenGL.
Developed real time Image Processing program for Camera Captured Images using C++ for border detection.
Developed and improved rendering performance of Maximum Intensity Projection and Averaging ray-caster (Medical Imaging – Ray Tracing) using OpenGL, GLSL.
Developed feature detection algorithms using Image Processing.