Summary
Overview
Work History
Education
Skills
Languages
Websites
Affiliations
Timeline
Generic

ANKITA DAS

BENGALURU

Summary

Professionally skilled in artificial intelligence and machine learning, with expertise in computer vision and video analytics. Experienced in developing and deploying solutions for object detection, tracking, and recognition using deep learning frameworks like YOLO, TensorFlow, and PyTorch. Proven track record of collaborating with cross-functional teams to enhance security and operational efficiency. Effective communicator with strong analytical and problem-solving abilities, dedicated to staying updated with the latest advancements in the field.

Overview

2
2
years of professional experience

Work History

AI/ML Engineer

Cogdriver
Bengaluru
08.2023 - Current
  • Developed technical solutions and strategies for a variety of clients.
  • Performed capacity planning, performance tuning, and system optimization activities.
  • Designed, implemented, and managed cloud-based architectures using Amazon Web Services (EC2, S3, Lambda, Cloudwatch, IAM, AWS CLI and AWS SDKs, AWS Security and Identity Services,AWS Monitoring and Management Tools.)
  • Provided technical leadership during the design, implementation, testing, and deployment phases of projects. Created detailed documentation to support system deployments.
  • Conducted research into emerging technologies to identify opportunities for improvement.
  • Managed relationships with vendors to maintain effective communication throughout project life cycles.
  • Utilized convolutional neural networks to identify patterns in digital images. Optimized existing computer vision applications with automated testing tools and machine learning frameworks.
  • Collaborated with team members to design, develop, and deploy new computer vision systems.
  • Analyzed large datasets of images to evaluate accuracy of current models and inform development decisions.
  • Utilized deep learning frameworks such as Yolo, TensorFlow and PyTorch to train and fine-tune object detection and tracking models.
  • Integrated cloud services into existing systems to enable distributed computing capabilities for image processing workloads.
  • Participated in meetings, code reviews, demos, design sessions and project retrospectives.
  • Assisted in the deployment of production-level applications utilizing cutting edge computer vision technology.
  • Designed databases to store application data using SQL Server or MongoDB technologies.
  • Created detailed design documents, test plans, user manuals, release notes and other related documentation.
  • Proposed innovative ideas for enhancing existing applications based on industry trends.
  • Deployed applications on server machines utilizing cloud services like AWS.
  • Analyzed large datasets to identify trends, patterns and correlations for business insights. Provided data-driven solutions to support decision making. Created graphs and charts detailing data analysis results.

AI/ML Engineer

cogvision.ai
Bengaluru
01.2023 - 08.2023
  • Developed algorithms to detect and classify objects in images using deep learning techniques. Implemented computer vision pipelines for real-time object detection, tracking, and recognition.
  • Designed image segmentation models for object extraction from frames of video data.
  • Collaborated with cross-functional teams to develop and deploy computer vision-based video analytics solutions.
  • Optimized existing computer vision applications with automated testing tools and machine learning frameworks. Utilized deep learning frameworks such as Yolo, TensorFlow and PyTorch to train and fine-tune object detection and tracking models.
  • Designed and implemented algorithms for real-time event detection, anomaly detection, and object recognition in surveillance videos.
  • Cleaned and manipulated raw data. Created graphs and charts detailing data analysis results. Tested, validated and reformulated models to foster accurate prediction of outcomes.
  • Analyzed large datasets of images to evaluate accuracy of current models and inform development decisions. Conducted data preprocessing and augmentation to improve model accuracy and robustness.
  • Integrated computer vision solutions into existing surveillance systems, resulting in improved security and operational efficiency.
  • Evaluated the performance of video analytics models, optimized hyperparameters, and fine-tuned algorithms for enhanced accuracy.
  • Applied feature selection algorithms to predict potential outcomes.
  • Wrote technical documentation outlining best practices for developing, deploying, and maintaining computer vision systems.
  • Participated in meetings, code reviews, demos, design sessions and project retrospectives.
  • Recommended data analysis tools (PowerBI) to address business issues.
  • Gathered customer requirements and developed machine learning product features to address needs.
  • Designed and deployed models into product stack in support of product development.
  • Provided technical support to clients, resolving issues related to video analytics solutions and ensuring customer satisfaction.
  • Stayed up-to-date with the latest advancements in computer vision and video analytics to drive innovation in product development.
  • Worked with Amazon Web Services (AWS): EC2, S3, Lambda, Cloudwatch, IAM, AWS CLI and AWS SDKs, AWS Security and Identity Services,AWS Monitoring and Management Tools.

Intern

Rubixe
Bengaluru
02.2022 - 08.2022
  • Home Loan Defaulter Management: A ML model was build to predict how capable each applicant is of repaying a loan, so that sanctioning loan only for the applicants who are likely to repay the loan is eased. Created reports system using Seaborn and Matplotlib. Worked closely with a team of three members.
  • MNIST Handwritten Digits Recognition: Implemented a Deep Learning system (CNN) that is used to classify MNIST handwritten digit images. To visualize the data Matplotlib was used where the plot shows the digit image along with its labels.
  • Bike Rental Prediction: Performed Machine Learning to predict the demand for bikes at any given hour of the day, so that, the bike rental shop can arrange for sufficient number of bikes for the customers. For visualization and insights seaborn and matplotlib was used.
  • Skin Disease Prediction: A multi classification Machine Learning model was build to predict differtent skin disease. For visualization and insights seaborn and matplotlib was used.
  • World Energy Consumption: This dataset consists of different energy production and consumption of each country in respective years, so a model was created to predict the energy consumption by different countries.

Education

Bachelor of Engineering - Electrical And Electronics Engineering

New Horizon College of Engineering (VTU)
Bengaluru
07-2017

Skills

  • Computer Vision: Object detection, tracking, and recognition; image segmentation; facial recognition
  • Machine Learning: Supervised and unsupervised learning, feature extraction, model evaluation
  • Programming Languages: Python, SQL
  • Deep Learning Frameworks: YOLOv4, YOLOv5, YOLOv8, TensorFlow, PyTorch
  • Image and Video Processing: OpenCV, FFmpeg
  • Data Preprocessing: Data augmentation, image normalization
  • Data Visualisation: Matplotlib, Seaborn
  • Tools: PyCharm, Jupyter Notebook, Docker
  • Database: MongoDB
  • BI Tools: PowerBI, Tableau
  • NLP: Word Preprocessing, Extraction, Word Embeddings
  • MS Office: Proficient in MS Office Suite, including Excel, Word, and PowerPoint
  • Problem-Solving: Strong analytical and problem-solving skills
  • Continuous Improvement: Dedicated to staying updated with the latest advancements
  • Teamwork and Collaboration: Effective communicator with strong collaborative abilities

Languages

Bengali
First Language
English
Proficient (C2)
C2
Hindi
Proficient (C2)
C2

Websites

Affiliations

  • Actively participated in conferences, workshops, and online communities to stay updated with emerging trends in ML/AI research.
  • Contributed to open-source projects relevant to ML/AI technologies, promoting innovation in the industry.

Timeline

AI/ML Engineer

Cogdriver
08.2023 - Current

AI/ML Engineer

cogvision.ai
01.2023 - 08.2023

Intern

Rubixe
02.2022 - 08.2022

Bachelor of Engineering - Electrical And Electronics Engineering

New Horizon College of Engineering (VTU)

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ANKITA DAS