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"Knowledge, smart work and integrity have no substitute."

Career Plan

I look forward for opportunities to serve in a professionally driven research environment where I can explore true potential of my capabilities in domains like Deep Learning, Artificial Intelligence or similar to contribute lucid and smart solutions to challenging real world problems  and further expand my professional expertise. 

Work History


December 2016December 2016

Signatures Features Visualisation using Deep Convolutional Autoencoder

The project was done as a skill assessment test for selection at EPFL Switzerland for Summer Internship in 2017. Based on my work, I have been selected at EPFL for the duration of 15th May 2017 to 22nd July 2017.

Link to code repository:

June 2016July 2016

Facial Key Points Detection using Deep Convolutional Neural Network - NaimishNet

This project was developed individually at the Department of Analytical Information Systems and Business Intelligence, University of Paderborn, Germany as part of 2 months summer internship. The project deployed scientific python with deep learning libraries like keras with theano backend. With my deep learning model, I could secure 18th rank on Kaggle leaderboard in Facial Key Points Detection Challenge.  

The project report can be found at the link:

February 2016May 2016

Face Recognition using Eigenfaces, Fisherfaces and Support Vector Machines

This project was developed, with 5 team members, as part of Image and Vision Processing course in 6th semester of IIIT-Allahabad. The project deployed R programming language and scientific python with the usage of scikit-learn library for machine learning.

February 2016May 2016

Speaker Recognition using Convolutional Deep Belief Networks

The project was developed, with 5 team members, as a semester project in 6th semester of IIIT-Allahabad. The project deployed the following technologies:

  • Scientific Python stack like Python 2.7, Theano, Numpy, Matplotlib, etc
  • CUDA with CuDNNv4
August 2015December 2015

Static Hand Gesture Recognition using Reinforcement Learning

The project was developed, with 5 team members, as a semester project in 5th semester of IIIT-Allahabad. The project was deployed in pure python.

March 2015April 2015

Tender Management System

The project was developed, with 4 team members, as part of Database Systems Course in 4th Semester of IIIT-Allahabad. The project featured a TMS system similar to present-day Public Works Department TMS. The project deployed the following technologies:

  • Web Development Languages - HTML, CSS, Javascript, JQuery, PHP
  • MySQL Database
November 2014December 2014

Operating System Scheduling Algorithms Simulator

The project was developed, with 5 team members, as part of Operating Systems Course in 3rd Semester of IIIT-Allahabad. The project simulated various OS Scheduling Algorithms like Round Robin, SJF, etc. The project deployed following technologies:

  • Java SE - mainly Java Swing
  • Text to Speech Synthesis Library - provided better Human-Computer Interaction
May 2014June 2014

Airlines Reservation System

The project was developed individually at HP Educational Services, Kanpur, India as part of the course Java 2 Enterprise Edition Struts with Hibernate Framework. It featured a simpler version of modern-day Airline Reservation Systems. The project deployed the following technologies: 

  • Java 2 Enterprise Edition - Java Server Pages and Servlets
  • MySQL Database
  • Glassfish Server
  • Adobe Dreamweaver 30 days Trial Software



I have been using Python since October 2015. Since then I have taken online training on various python related topics and also have put it into use in many course assignments and projects. I mainly work with Scientific Python stack comprising Python 3.6, Numpy, Matplotlib, Scipy, Pandas, Scikit-learn, Tensorflow, Keras, PyTorch, Pandas, NetworkX, etc.

Machine Learning and Data Science

I have been working in the field of Machine Learning and Data Science since June 2015. Since then I have engaged myself in various projects involving it. I work mainly with Deep Learning techniques like Feed Forward Neural Networks, Convolutional Neural Networks, Recurrent Neural Networks, Auto-encoders, etc. 

R Programming

I have used R extensively from June 2015 to May 2016. I have also taken various online courses on Data Camp.


I have used Java extensively from 2009 to 2014 in various course assignments and projects.


I have worked with C# in 2015 since it has a beautiful syntax and at the same time the Visual Studio IDE made it a painless experience to work with C#.

Microsoft SQL Server - Transact SQL

I have worked extensively with Transact SQL in 2014 only.


I have worked with Gephi in March - April 2017.


I have worked with Neo4j in March - April 2017.

Web Design

Basic web development skills - HTML and CSS



July 2016December 2016

Member of Dean's Merit List

IIIT-Allahabad has listed me in Dean's Merit List for extraordinary performance in 7th Semester.

January 2016June 2016

Institute Performance Award

Received a cash prize of INR 36,000 for excellent performance in 6th semester of IIIT-Allahabad. 

January 2014June 2014

Merit Incentive Award

Received a cash prize of INR 36,000 for excellent performance in 2nd semester of IIIT-Allahabad. 

April 2011April 2013

School Scholarships

Based on excellent performance in classes 11th and 12th, I got 100% free education in school.

Online Courses Certifications

Jul 2015Present

Introduction to R


Jul 2015Present

Data Manipulation in R with dplyr


Jul 2015Present

How to work with Quandl in R


Jul 2015Present

Reporting with R Markdown


Jul 2015Present

Data Visualization in R with ggvis


Jul 2015Present

Kaggle R Tutorial on Machine Learning


Aug 2015Present

Intermediate R


Aug 2015Present

Big Data - Fundamentals


Dec 2015Present

Importing Data into R


Dec 2015Present

Intro to Statistics with R: Introduction


Dec 2015Present

C# Fundamentals with Visual Studio 2015


Jan 2016Present

Visual Studio Code


Online Courses Certificates Portfolio