Built early.
Built to scale.

India (Remote)

• Designed and developed a robust backend application for Apply Course using Django framework and PostgreSQL, enabling efficient management and processing of course applications.
• Implemented user profiles with different roles and permissions, ensuring secure access to the database based on assigned roles, effectively managing user privileges and data confidentiality.
• Collaborated closely with the frontend team to ensure seamless integration between the frontend and backend systems, providing a smooth user experience and efficient data retrieval and manipulation.

India (Remote)

• Developed backend systems using Django framework for machine learning models and scraping scripts, enabling efficient data processing and analysis.
• Created microservices using AWS Lambda to optimize backend models, resulting in modular and easily maintainable codebases.
• Deployed Django-based backend on AWS, utilizing services like AWS Elastic Beanstalk and AWS RDS for optimal performance, high availability, and scalability.

Bangalore, Karnataka

• Proficient in layer 2 and layer 3 networking protocols, with a strong grasp of packet switching and routing principles.
• Demonstrated expertise in network design and testing, contributing to the development of robust and efficient networks.
• Hands-on experience with Arista's cutting-edge Cloud Vision Platform, with a focus on testing advanced features such as layer 2 and layer 3 subinterfaces.

India (Remote)

• Developed and deployed a Fintech B2B cloud application using React.js, Java, and machine learning components, enabling Account Receivable users to view, process, and predict invoice payments.
• Built a full-stack invoice management application with React, JDBC, Postgres, Python and Java, featuring data management, searching, editing, and deleting capabilities, as well as a responsive dashboard.
• Demonstrated expertise in front-end and back-end development, as well as data visualization, processing, and predictive modeling using machine learning components.

Remote

• Achieved proficiency in utilizing Python's Selenium and Beautiful Soup libraries to scrape healthcare websites, gather data on doctors, hospitals, and medicines, and automate data fetching processes.
• Developed and implemented Python scripts for real-time data retrieval and translation of website content into over 65 languages.
• Performed automation scripting and testing using Selenium, ensuring accuracy and reliability of data extraction and automation processes.

Virtual

• Designed and implemented algorithms for data cleaning and data profiling using Python and Pandas, ensuring high data quality and consistency.
• Performed thorough Exploratory Data Analysis (EDA) on datasets, utilizing a variety of statistical and visualization techniques to gain insights into data patterns and relationships.
• Achieved proficiency in maintaining organized data in a specific order through efficient data manipulation and management techniques, ensuring accessibility and usability for downstream analysis and reporting.

Remote

• Wrote academic blogs on Machine Learning and worked on research projects. One project involved developing an autocompletion feature using NLP and Python libraries such as Spacy and FastAutocomplete.
• Another project was implementing image recognition and feature detection using Caffe library and explaining its working.
• Implemented the SURF research paper and its application in OpenCV for real-time object detection.

Remote

• Acquired in-depth knowledge of IoT architecture, protocols, and applications, with a focus on Home Automation technology.
• Demonstrated proficiency in working with hardware components, including Arduino UNO, Raspberry Pi, and IoT sensors, to design and develop advanced IoT systems.
• Successfully completed a hands-on project, from conception to completion, utilizing API integration and showcasing the ability to deliver a fully functional IoT solution within a predetermined timeline.