CV

MS, Computer Engineering

Florida Institute of Technology (FIT), FL, USA

• Academic & Research Interests
  • Machine Learning, LLMs
  • Computer Vision, Autonomous Systems
  • Traditional Machine learnng algorithms
  • Algorithms and Data structures

Bachelor of Engineering, Computer Engineering

University of Mumbai, India

• Academic & Research Interests
  • Electronics, VLSI, Microprocessors

Student Researcher

Florida Institute of Technology, FL, USA

• Collaborated with 2 research candidates in developing Automatic Speech Recognition (ASR) system using traditional machine learning algorithms and a separate model with a Deep Learning module as the back-end for Sase Lab and Kaldi.
• The Deep learning model was able to detect the trigger word with 100\% accuracy. This is an industrial project for the NLP library Kaldi, which required an implementation from scratch, from raw audio pre-processing, FIR filtering, feature extractions, MFCCs, LPCs, Discreate Fourier transforms, to SVMs, followed by prediction modeling.
• Implementing using Wake-up-word recognition for detecting a new trigger word for the ASR system with effective detection and identification between alerting and non-alerting contexts of the same chosen word.

Software Developer - Computer Vision

Brainnrgic, Thane, IN

• Successfully implemented a Visual Perception Stack for a Japanese automobile client with the help of Carla simulator and Real-world data from various sensors.
• The project involved visual Odometry for the ego vehicle localization by detection and descriptions of static and dynamic obstacles and estimating their distance from the ego vehicle.
• SIFT discriptor was used for initial feature extraction paired with FAST detectors and FLANN for the feature matching process.Camera motion estimation was achieved using RANSAC. The deep learning stack was then deployed using semantic segmentation and then trained on real-data from cameras, LIDARs and other sensors.

Software Developer - DevOps

Brainnrgic, Thane, IN

• Successfully optimized and streamlined Amazon AWS services such as EC2, S3, VPC, IAM, Load Balancer and Cloud Watch through innovative Autoscaling techniques, leading to 11\% cost reduction.
• Expertise in Amazon Web Services like EC2, Load balancers, Lambda, S3, RDS, DynamoDB, SQL, VPC, Route 53, IAM, WAF, CloudFormation, Elastic Kubernetes services (EKS), Elastic container services(ECS), Kinesis, EBS, Elastic Beanstalk, CloudWatch, CloudTrail, Security grouups, SNS, SQS, Direct connect etc.
• Utilizing GitHub for advanced source code version control, integrated with Jenkins for CI/CD pipeline, code quality tracking, and expert user management with build tools Maven, for a truly optimized and efficient workflow.
• Leveraging cutting-edge technologies such as Jenkins, Docker, expertly developed scripts for build, deployment, maintenance, and related tasks to ensure smooth and efficient operations.
• Migrated existing AWS infrastructure to Serverless Architecture (AWS Lambda) deployed via Terraform and Implemented AWS Lambda functions to run scripts in response to CloudWatch events.

Calibration Engineer

Mass Weigh systems Pvt. Ltd., Thane, IN

• Calibration of high precision and accuracy systems in an NABL accredited laboratory to minimise the reducible errors.

Business development executive

Monetium Educare HR Consultants LLP, Thane, IN

• AWS Machine Learning Specialist
• AWS Cloud Practitioner
• TensorFlow Developer Certificate