Nov 2022 – Aug 2024 · 1 yr 9 mos · Bengaluru, Karnataka, India · Hybrid

Jul 2021 – Sep 2022 · 1 yr 2 mos

• Session on:
• 1. Neural Networks, Convolutional Neural Networks, Generative Adversarial Networks, Deploying a Model
• 2. Ask me Anything
• 3. Mentorship 1:1

Nov 2019 – Mar 2023 · 3 yrs 4 mos · Mumbai, Maharashtra, India

• Leading the Applied-Research specialization (AI - Chief Innovation Group) at LTTS. The major part of my responsibilities includes managing the multi-faceted Innovation strategy at LTTS (Healthcare), as well as the creation and execution of research-backlog and pipeline at R&D. This includes the efforts in ideation and designing of research use-cases, identifying trends and upcoming areas of AI research, focused on both short-term and long-term goals often aligned with LTTS (Healthcare Innovation Group), all the while making sure of an efficient knowledge-dissemination and roll-off mechanisms.
• On-Going Research and Product:
• #SDES - AI-based models for decision support for Software Defined Endoscopy System by leveraging NVIDIA’s latest GPU (Clara AGX/ HoloScan Dev Kit) and integration with an existing endoscopy cart.
• #MLDDA: Machine Learning Data Delivery and Automation Pipelines for Healthcare System
• #Chest-rAI: AI-Based Chest X-ray Analysis to assist the Radiologists. Chest-rAiTM analyzes chest radiographs using machine learning techniques to identify and highlight various pulmonary and other thoracic diseases. It is a deep learning system blended with a traditional radiologist approach of systematically examining a chest radiograph.
• #BCAM: AI-based Blood Cell Analysis System Using Microscopic Images. BCAM provides the following analysis: Identification of the RBC, WBC and Platelets based on the different types of blood cells. Count of the RBC, WBC and Platelets on specific images. Predicting the Hemoglobin stats based on RBC count. Predict the cell characters based on images.
• #SALV: AI-Based Surgical Analytics Using Laparoscopic Video
• Analysis of live surgery and on-demand surgery clip of a laparoscopic video, the AI model predicts the surgical phase (preparation, cleaning, etc, useful for staff planning), the action being performed (cutting, threading, etc, useful for transcript generation), an estimate of the surgeon's skill.

Sep 2018 – Nov 2019 · 1 yr 2 mos · Mumbai Area, India

• Role and Responsibilities:
• Designing and building impactful Deep-Learning solutions for business use-cases.
• Actively researching about the latest AI and DL techniques
• Training the freshers for smooth processing into the ML projects.

Mar 2018 – Sep 2018 · 6 mos · Mumbai Area, India

• Researched about the latest AI and DL techniques. Built deep learning models for images, videos and text data. Designed and built impactful Deep-Learning solutions for business use-cases.

Jul 2017 – Feb 2018 · 7 mos

• Designed and build impactful Deep-Learning solutions for business use-cases. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions.

Dec 2016 – Jul 2017 · 7 mos · Hybrid

• Study and transform data science prototypes Designing and developing machine learning and deep learning systems. Research and implement appropriate ML algorithms and tools. Develop machine learning applications according to requirements. Select appropriate datasets and data representation methods. Run machine learning tests and experiments Perform statistical analysis and fine-tuning using test results.

Mar 2016 – Sep 2018 · 2 yrs 6 mos · Remote

• Collaborate with clients to identify their business needs, challenges, and opportunities where AI can provide value. Conduct thorough assessments to understand the current state of their operations and determine AI feasibility.
• Solution Design: Design AI solutions that address client requirements and align with their business objectives. Develop comprehensive plans that outline the implementation process, including data collection, model training, deployment, and maintenance.
• Technical Expertise: Possess a deep understanding of AI technologies, algorithms, and frameworks. Stay up-to-date with the latest advancements in the AI field and assess their applicability to client projects. Advise on the selection of appropriate AI tools, platforms, and frameworks.
• Data Analysis: Analyze client data to identify patterns, trends, and insights that can be leveraged to build effective AI models. Collaborate with data scientists and engineers to ensure high-quality data collection, preprocessing, and feature engineering.

Oct 2013 – Mar 2016 · 2 yrs 5 mos

• Designed and build impactful Analytics Solutions for business use-cases. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Determines operational feasibility by evaluating analysis, problem definition, requirements, solution development, and proposed solutions. Documents and demonstrates solutions by developing flowcharts, documentation, layouts, diagrams, code comments and clear code.

May 2012 – Jun 2012 · 1 mo

• Attended the conference to learn the basics of the software development process. Participated in computer programming, and design. Attended classes and seminars assigned for the module. Implementation of Diagnostic Lab Center project based on Java EE.

Dec 2011 – Dec 2011 · 0 mo · Agartala

• 15 days short term training based on Networking and Hardware.