Web Developer Software Engineer

Anjan Kumar GJ

Email: ad5r46@r.postjobfree.com +1-628-***-**** portfolio: anjankumar GitHub: anjankumar

Home Address: Unit 432, 353 King Street, San Fransisco, CA, 94158, USA

Domain skills:

Data science, artificial intelligence, deep learning, reinforcement learning, computer vision, data structures, software engineering, Business intelligence

EDUCATION

Golden Gate University, San Fransisco, USA Sep 2022 - Aug 2024

Master of Science, Business Analytics GPA: 3.9/4.0 Courses: Machine learning & Predictive Analytics, Advanced Statistics Analysis using Python, AI Data Security and risks, Natural Language Processing, Tableau Data Visualization and communication, Prescriptive Analytics and optimization, Database management.

APS College of Engineering, Bangalore, India July 2011 - May 2015 Bachelor of Engineering, Information/Computer Science and Engineering.

TECHNICAL SKILLS

Programming Languages: C#, Python, MS SQL, Javascript, Typescript,

Libraries & Framework: TensorFlow, Keras, PyTorch, numpy, sklearn, pandas, CNN,RNN, OpenCV, Flask, Angular, Dot Net core, ADO.net, Web API 2.0, ASP.net, ASP.net MVC

Tools and APIs: Coppeliasim, Jupyter Notebook, Tableau, VS Code, Visual Studio, R Studio, Azure, Rest API, Swagger

Deep Learning Architectures: ResNet, MobileNet, Transformers, Self-Supervised Learning Database: MSSQL, MySQL

Ability to build the products solely by making use of the above skills and technologies.

WORK EXPERIENCE

Capgemini India Pvt ltd, India Consultant DotNet Full stack Web Developer Jul 2022 – Jun 2023

•Directed the complete development cycle of the PrintOS App for HP, modernizing user training and monitoring practices; elevated user proficiency by 40% and streamlined troubleshooting processes by 50%.

L & T Technology Services, India Software Engineer DotNet Web Developer Jun 2021 - Jun 2022

•Established the successful development and launch of the Sensorview app for Acuity Brands, achieving a 35% decrease in customer support queries and a 20% growth in positive user reviews.

•Managed the development of a network-based control hub for nLight and nLight Air devices, streamlining lighting component configuration and monitoring, resulting in a 20% boost in remote control capabilities.

H.G.S, India Software Engineer DotNet Web Developer Sep 2019 – Jun 2021

•Led initiatives within HGSOPSOPAT, such as Multiplan, Coventry, Aetna, and the Attendance Management System, resulting in streamlined operations, 20% faster service delivery, and a 10% increase in customer satisfaction.

•Developed an initiative to streamline inventory upload, assign hierarchical access levels, optimize agent inventory allocation, track processing stages, conduct work audits, and generate reports. Leveraged ASP.net MVC, Web API 2.0, and MSSQL technologies, ensuring stakeholder satisfaction and successful project delivery.

Amplitude Software Systems Pvt Ltd, India Software Engineer DotNet Web Developer Jun 2018 – Aug 2019

•Directed the implementation of medical services for clients, overseeing tasks such as employee and patient data management, medicine price accountability, and client details; used Angular, Web API 2.0, and MSSQL to generate accurate medical reports based on diagnoses.

PROJECTS

•AI Autonomous Car:

Pioneered cutting-edge AI autonomous car program incorporating Raspberry Pi, camera, and Convolutional Neural Networks for instant image processing, enhancing object detection accuracy by 40%, and facilitating self-driving features within a condensed hardware framework.

Training Datasets were created by running the car using the keyboard.

Post R & D the robot has been built and tested in reality using Raspberry Pi, Python, and CNN. Dec 2023

•Drone Navigation and Obstacle Avoidance:

Architected groundbreaking AI-powered drone navigation and obstacle avoidance system utilizing webots and neural networks for instantaneous environmental analysis; facilitated autonomous flight decision-making and obstacle evasion, enhancing flight safety by 75%.

The model construction, motion, and planning are done by using the CNN technique. Aug 2023

•Face Detection and Tracker:

Orchestrated the design and implementation of FaceDetection and Tracker, a state-of-the-art Python-based deep learning system that significantly improved face detection and tracking in images and video streams, achieving a remarkable 60% increase in real-time monitoring accuracy. Jun 2023

•Autonomous City Driving Simulation:

Post research engineered an innovative Autonomous City Driving Simulation and modeling leveraging CoppeliaSim and Python, incorporating CNNs for processing real-time images. This resulted in self-driving cars autonomously navigating cities, enhancing decision-making, and optimizing obstacle avoidance by 40%. – OpenCV, Python. Apr 2023

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