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Abhinav Tembulkar

Software Developer | AI Enthusiast

About Me

Hi! I'm a Tech enthusiast and BTech Computer Science graduate with 1.5 years of web development experience in startups. Transitioning toward Artificial Intelligence and Machine Learning, I'm actively pursuing specialized coursework in Python, TensorFlow, and Scikit-learn via platforms like Coursera. Engaged in real-world projects focusing on face recognition and computer vision, I'm leveraging my problem-solving skills to innovate in these dynamic AI/ML fields.

Experience

Insurance Samadhan

Full Stack Engineer

  1. Increased customer engagement by 30% by creating Chatbot on Whatsapp and Main site. Integrated bot with company's systems using REST APIs in Node.js to enable seamless data sharing and complaint collection.
  2. Collaborated with team members to migrate the front-end of the internal admin portal from AngularJS to ReactJS, improving employee engagement by 25%.
  3. Ensured smooth operation of critical backend systems by resolving API and performance issues, performing regular maintenance via shell scripting, and ensuring MongoDB integrity by data validation & error handling.

Hudle

Full Stack Engineer

  1. Developed Recurring Games, a Google Calendar-like recurring event feature, for the debut of Groups & Games in Hudle App. Used Cron jobs, MySQL database, NestJS backend and AWS Lambda for efficient Game scheduling
  2. Introduced WhatsApp-like features in Groups & Games, including Pin, Mute, and Star conversations. Employed MySQL database and Redis caches for seamless implementation.
  3. Redeveloped main website hudle.in in NextJS , a ReactJS framework leading to 40% increase in web traffic
  4. Developed and deployed Internal Tools for Accounting team in NestJS and SQL Database.

JMoon Technologies Pvt. Ltd.

Machine Learning Intern

  1. Built backend for company's Investment decision-making app smarterangel.com using Flask, a Python framework and MongoDB database. Integrated the price prediction model with backend for running model on API queries.
  2. Worked on visualising financial data in Javascript and HTML/CSS.
  3. Worked on automating model training task with time scheduling libraries in Python and improving their performance.

Projects

Doctor Chat App

A simple doctor- patient online consultancy app built usingNodeJS, MongoDB, ExpressJS in back-end and HTML,CSS,Bootstrap, Handlebars in frontend chat using Socket.io hosted using Heroku.

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ReactQuotesApp

A React App for getting quotes, allows users to comment and reply. Frontend in ReactJS and Backend using NodeJS, ExpressJS. Nested comments implemented using binary tree data structure & JSON.

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Live Flight Status

A flight status tracker app, plots live status on map every 30 seconds. Built using AJAX, JS and HTML/CSS. Data fetched from Lufthansa and aviation stack APIs.Maps plotted using amcharts and bootstrap.

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Face mask detector

A ML model for combating corona virus by detecting face masks on peoples faces. Built using tensorflow framework .Uses pretrained model weights trained in tensorflow on dataset provided at this link.

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Events Manager App

An Events managing website with user session and login capability. Built using HTML, CSS,JS, Handlebars in front-end and NodeJS, ExpressJS in back-end with MongoDB.

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Reactive Soundbars

An innovative music visualization using frequency spectrum.Built using p5.js,HTML,CSS,JS.

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BurgerBuilderApp

A burger builder app built using ReactJS ,Bootstrap, CSS modules and other relevant modules. Allows user to customise and order burgers according to their needs. A complete Front-end Project.

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TodoListApp

A full Stack project made using REST APIs in Backend using NodeJS,ExpressJS and using Vue.js,HTML,CSS,JS in Frontend and MongoDB with Sequelize for Database.

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Freqbars

A CRAZY music visualization based on p5.js library.Utilizes frequency spectrum of song to generate this visualization . User Mic input also enabled.

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Achievements

Education

University School of Information, Communication and Technology

Dwarka, New Delhi

2017 - 2021

Bachelor of Technology in Computer Science and Engineering

CGPA: 8

Bharatiya Vidya Bhawan Mehta Vidyalaya

K.G. Marg, New Delhi

2015 - 2016

Intermediate (12th CBSE)

Percentage: 93.60%

Bharatiya Vidya Bhawan Mehta Vidyalaya

K.G. Marg, New Delhi

2013 - 2014

Matriculation (10th CBSE)

CGPA: 10

Skills





Coursework

  1. Data structures and algorithms
  2. Algorithm Design and Analysis
  3. Object Oriented Programming
  4. Operating Systems
  5. Database Managment System(DBMS)

Trainings

Introduction to machine learning - Duke University

Coursera

Jun 2020 - Jul 2020

Web development with NodeJS

Coding Blocks

Jun 2019 - Jul 2019

C++ foundation with data structures

Coding Ninjas

Sept 2017 - Nov 2017

Python basics for data science

EDX

May 2020 - Jun 2020

Email

abhinavtembulkar@gmail.com

Phone

9654228946

Links