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EXPERIENCE

Associate Backend Developer

Metalab Innovation LLP. (QNIX)

Bengaluru, India

Jan 2022 - Jul 2022

Lead Developer: Qelza - Work Management Solution

  • Spearheaded Qelza's back-end development (Django, scalable database) with a 5-developer team, ensuring on-time, on-budget delivery for Happi Mobiles.

  • Architected efficient GraphQL API schema for Qelza, boosting data querying/manipulation by 50% vs. prior REST API, for streamlined development and complex data interactions.

  • Implemented thorough code review processes to ensure code quality, adherence to best practices, and knowledge sharing among team members, resulting in a 40% decrease in bugs and improved overall code maintainability.

  • Deployed GitLab CI/CD pipelines for continuous integration and deployment, and containerized the application using Docker for enhanced scalability, reducing deployment times by 30%.

  • Demonstrated effective project leadership by overseeing timelines, resource allocation, and collaboration, while also engaging with client stakeholders to understand and meet specific requirements. Implemented rigorous testing procedures, resulting in a 50% reduction in post-deployment issues.

  • Maintained comprehensive documentation for codebase and API specifications, contributing to a 25% increase in development team productivity.

Machine Learning Engineer

Metalab Innovation LLP. (QNIX)

Bengaluru, India

Jul 2021 - Feb 2022

Large Scale Tattoo Detection System

  • Developed a highly accurate (~91%) tattoo detection and identification system using YOLO and PyTorch, demonstrating efficient object recognition capabilities.

  • Enhanced the tattoo detection system by developing a user-friendly Django API with secure OTP-based login, streamlining user experience.

  • Converted the dataset to Pascal VOC 2012 format, leveraging its structured annotation and organization advantages for improved model training and evaluation.

Deep Learning Engineer

Metalab Innovation LLP. (QNIX)

Bengaluru, India

Jun 2019 - Jun 2021

​Advanced Camera Analytics

  • Worked with one of India’s largest retail companies (Happi Mobiles), where I played a key role in designing and implementing robust deep learning algorithms. Engineered a YOLO-based deep learning algorithm with parallel processing, achieving ~95% accuracy in person detection, and realizing a speedup of 2.4 with an efficiency improvement to 30.30%.

  • Implemented triplet loss for face clustering, resulting in a 15% reduction in false positives and a 20% improvement in identification accuracy, ultimately achieving an 87% recognition rate.

  • Optimized and maintained an Airflow scheduler, automating and efficiently managing cron jobs, saving approximately 2 hours daily per engineer. This ensured seamless and timely operations of critical processes.

  • Played a pivotal role as a core researcher in topics related to Object detection and clustering. This contribution led to the successful launch of projects with 2 new clients and marked the company’s inaugural venture into in-house Advanced Camera Analytics.

Research Assistant in Collaboration with U.S. Fish & Wildlife Service

University of Massachusetts Dartmouth

North Dartmouth, MA

January 2024 - present

  • Processed 20,000+ fish videos for species identification and length measurement, achieving 94% accuracy and reducing manual analysis time by over 80%.

  • Built a scalable Django web application for concurrent processing of up to 100 videos with real-time updates via AJAX, enhancing user experience.

  • Established an ML pipeline via Airflow to automate every 2 week model retraining, ensuring continued accuracy as new data is collected.

EDUCATION

Master of Science in Data Science

University of Massachusetts Dartmouth

North Dartmouth, MA

Sept 2022 - Aug 2024

Relevant Courses:

Big Data Analytics, Advanced Data Mining, Advanced Mathematical Stats, High Perform Scientific Computing, Database Design, Applied Statistical Investigation.

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GPA: 4.0

Bachelor of Engineering in Telecommunication Engineering

BMS Institute if Technology and Management

Relevant Courses:

Data Structures using C , OOPs using C++, Python, Operating System, Information Theory and Coding, Microprocessor.

Bengaluru, India

2015 - 2019

TECHNICAL SKILLS

Languages: Python, MATLAB, SQL, JavaScript, HTML/CSS, D3.js

Web Development: Django, Django Rest Framework, Celery, GraphQL (Ariadne), JavaScript (DOM manipulation, AJAX), Unit Testing with Django (Pytest), JWT, Gunicorn, Nginx

Big Data & Cloud: Amazon Web Services, Microsoft Azure, PySpark, Apache Kafka, Hadoop, Airflow, Hive

Databases: PostgerSQL, MySQL, DynamoDB, MongoDB, Neo4J, Redis

AI & ML: XGBoost, OpenCV, Pandas, Numpy, Scikit-learn, Matplotlib, Seaborn

Computer Vision: TensorFlow, Keras, PyTorch, YOLO, Ultralytics, Supervision, Roboflow

DevOps & Tools: Git, GitHub Workflow, GitLab - CI/CD, Docker, PEP 8 (Python Code Style), Postman

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