Hi, Myself Phalesh

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01

About


As a Backend developer, my enthusiasm lies in crafting inventive solutions that add significant value to end-users. My journey commenced with Python, laying a robust foundation in programming concepts and web development. I subsequently broadened my expertise to encompass Django, ReactJS, and C++, as well as data structures and algorithms.

My recent foray into Machine Learning, marked by project creation and successful participation in the Amazon ML Summer School 2023, reflects my evolving interests and dedication to continuous learning.

02

Experience


Sameep(Jabalpur Incubation Center)

Backend Developer Intern  Link

Jun'23 - Aug'23

  • Designed data architecture and developed backend for seamless compatibility on multiple platforms
  • Integrated backend with frontend using REST API and Django Rest Framework.
  • Implemented performance optimization techniques with PostgreSQL database.
  • Tech Stack: Django, Django Rest Framework, PostgreSQL, Redis, Channels, Signals, Firebase Cloud Messaging

03

Skills


04

Projects


Medicinal Plant Identification And Retrieval-Augmented Generation (RAG) Chatbot

Designed and implemented a robust backend system for an AI chatbot, integrating RAG processing and a CNN model (InceptionV3) for medicinal plant identification. Developed a seamless API service for predicting plant names and a responsive RAG Chatbot, showcasing adaptability and resourcefulness in overcoming project constraints. Utilized technologies including Django Rest Framework, Hugging Face, Tensorflow, LangChain, and OpenAI to create production-level RAG and AI systems.

WebML

Blog Website with ReactJS & DjangoRestFramework

This blogging website utilizes customized microservices (APIs) developed using Django Rest Framework, along with a React framework for the frontend.

Web

Gesture Recognition

Trained a Convolutional Neural Network (CNN) model on a leapGestRecog dataset (20,000 images of hand gestures) from the Kaggle Hand Gesture Recognition Database, which includes nine different types of gestures. Additionally, we developed a Wrist-worn Neural Artificial Intelligence (WNAI) system using the Mediapipe Hand Landmark model as a backup to recognize hand gestures.

ML

mechoriders.com

Created a website for College Team with Payment Gateway and SMTP services. Deployed it on cPanel.

Web

Other Projects

College Portal

I have developed a replicated version of a college portal's backend, which encompasses essential features such as Student and Faculty Profiles, Daily Notices, and other related functionalities.

BackendWeb

VIrtual Mouse

Develop a virtual mouse utilizing hand landmark detection through the Mediapipe platform.

ML

SIH

ML

05

Contact


Let's stay in touch!

phaleshm@gmail.com

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