Rachit Bansal's CV
Autor:
Rachit Bansal
Last Updated:
hace 5 años
License:
Creative Commons CC BY 4.0
Resumen:
CV of Rachit Bansal. Created with the Deedy CV template.
\begin
Discover why 18 million people worldwide trust Overleaf with their work.
CV of Rachit Bansal. Created with the Deedy CV template.
\begin
Discover why 18 million people worldwide trust Overleaf with their work.
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% Deedy - One Page Two Column Resume
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\namesection{Rachit}{Bansal}
{ \urlstyle{same}{M-172, Vikas Puri, New Delhi, India- 110018}\\
\href{mailto:rachitbansal2500@gmail.com}{rachitbansal2500@gmail.com} | 9205677801
}
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\begin{minipage}[t]{0.33\textwidth}
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% EDUCATION
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\section{Education}
\subsection{Delhi Technological}
\subsection{University}
\descript{B.Tech (Electrical Engineering)}
\location{2022 (expected) | New Delhi, IND}
\sectionsep
\subsection{Bal Bharati Public}
\subsection{School, Dwarka}
\descript{CBSE Class XII}
% \location{2017-18 | New Delhi, IND}
\location{Percentage: 91.5 agg}
\sectionsep
\subsection{Bal Bharati Public}
\subsection{School, Dwarka}
\descript{CBSE Class X}
% \location{2015-16 | New Delhi, IND}
\location{10 CGPA}
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% LINKS
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\section{Links}
% Facebook:// \href{https://facebook/dd}{\bf dd} \\
Github:// \href{https://github.com/RachitBansal}{\bf RachitBansal} \\
LinkedIn:// \href{https://www.linkedin.com/in/rachit-bansal-564725161}{\bf RachitBansal} \\
% YouTube:// \href{https://www.youtube.com/user/DeedyDash007}{\bf DeedyDash007} \\
% Twitter:// \href{https://twitter.com/debarghya_das}{\bf @debarghya\_das} \\
% Quora:// \href{https://www.quora.com/Debarghya-Das}{\bf Debarghya-Das}
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% COURSEWORK
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% \section{Coursework}
% \subsection{Graduate}
% Advanced Machine Learning \\
% Open Source Software Engineering \\
% Advanced Interactive Graphics \\
% Compilers + Practicum \\
% Cloud Computing \\
% Evolutionary Computation \\
% Defending Computer Networks \\
% Machine Learning \\
% \sectionsep
% \subsection{Undergraduate}
% Information Retrieval \\
% Operating Systems \\
% Artificial Intelligence + Practicum \\
% Functional Programming \\
% Computer Graphics + Practicum \\
% {\footnotesize \textit{\textbf{(Research Asst. \& Teaching Asst 2x) }}} \\
% Unix Tools and Scripting \\
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% SKILLS
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\section{Skills}
\subsection{Machine Learning and Deep Learning}
\location{Natural Language Processing:}
\textbullet{} Transformer Models \textbullet{} RNNs and LSTMs \textbullet{} BERT and GLoVe Embeddings \\
% Matlab \textbullet{}
\location{Reinforcement Learning:}
\textbullet{} Q-Learning Neural Networks \textbullet{} D-QNNs \\
\location{Computer Vision:}
\textbullet{} RCNNs, Fast RCNNs, Faster RCNNs \\* \textbullet{} YOLO \textbullet{} CNNs \\
\location{Frameworks:}
\textbullet{} Tensorflow \textbullet{} PyTorch \textbullet{} Keras \textbullet{} Numpy \\* \textbullet{}
Pandas \textbullet{} Matplotlib \textbullet{} Scrapy \textbullet{} Selenium \\
\location{Languages:}
\textbullet{} Python \\
\sectionsep
% \location{.} \\
\subsection{Full-Stack Web Development}
\location{Front End:}
\textbullet{} HTML \textbullet{} CSS\\
% Matlab \textbullet{}
\location{Back End:}
\textbullet{} GET and POST \textbullet{} ejs \textbullet{} Express \\
\location{Database Management:}
\textbullet{} MongoDB \\
\location{Languages:}
\textbullet{} JavaScript \\
% AS3 \textbullet{} iOS \textbullet{} Android \textbullet{} MySQL
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\begin{minipage}[t]{0.66\textwidth}
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% EXPERIENCE
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\section{Experience}
\runsubsection{Coding Blocks}
\descript{| Teaching Assistant }
\descript{Machine Learning with Deep Learning Course}
\descript{- Built projects and course quizzes in collaboration with mentors.
- Took Machine Learning workshops and bootcamps at Universities all over the country.
- Held up Classes and Doubt Sessions for a batch of around 60 students. }
\location{June 2019 - Present | New Delhi, IND}
\sectionsep
% \runsubsection{Coursera}
% \descript{| KPCB Fellow + Software Engineering Intern }
% \location{June 2014 – Sep 2014 | Mountain View, CA}
% \vspace{\topsep} % Hacky fix for awkward extra vertical space
% \begin{tightemize}
% \item 52 out of 2500 applicants chosen to be a KPCB Fellow 2014.
% \item Led and shipped Yoda - the admin interface for the new Phoenix platform.
% \item Full-stack developer - Wrote and reviewed code for JS using Backbone, Jade, Stylus and Require and Scala using Play
% \end{tightemize}
% \sectionsep
% \runsubsection{Google}
% \descript{| Software Engineering Intern }
% \location{May 2013 – Aug 2013 | Mountain View, CA}
% \begin{tightemize}
% \item Worked on the YouTube Captions team, in Javascript and Python to plan, to design and develop the full stack to add and edit Automatic Speech Recognition captions. In production.
% \item Created a backbone.js-like framework for the Captions editor.
% \end{tightemize}
% \sectionsep
% \runsubsection{Phabricator}
% \descript{| Open Source Contributor \& Team Leader}
% \location{Jan 2013 – May 2013 | Palo Alto, CA \& Ithaca, NY}
% \begin{tightemize}
% \item Phabricator is used daily by Facebook, Dropbox, Quora, Asana and more.
% \item I created the Meme generator and more in PHP and Shell.
% \item Led a team from MIT, Cornell, IC London and UHelsinki for the project.
% \end{tightemize}
% \sectionsep
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% PROJECTS
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\section{Projects}
\runsubsection{Image Captioning Bot}
% \descript{| Researcher}
\location{LSTMs, CNNs, Transfer Learning, Attention Model}
% Worked with \textbf{\href{http://www.cs.cornell.edu/~ashesh/}{Ashesh Jain}} and \textbf{\href{http://www.cs.cornell.edu/~asaxena/}{Prof Ashutosh Saxena}} to create \textbf{PlanIt}, a tool which learns from large scale user preference feedback to plan robot trajectories in human environments.
Created an Image Captioning Bot which outputs a relevant description in response to an input image. Used various CNN Architectures and obtained the best results using Inception-Net.
\sectionsep
\runsubsection{ChatBot}
% \descript{| Head Undergraduate Researcher}
\location{LSTMs, PyTorch, Attention Model}
% Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
Made a Chatbot in PyTorch from scratch using the Cornell Movie Dialogue Dataset
\sectionsep
\runsubsection{Atari Game Agent using Reinforcement Learning}
% \descript{| Head Undergraduate Researcher}
\location{Double Q-Learning Neural Networks, CNNs, OpenAI-Gym}
% Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
Made a Python Game Agent which beats the average human performance score on various Atari Games.
\sectionsep
\runsubsection{Text and Novel Generator}
% \descript{| Head Undergraduate Researcher}
\location{RNNs, GLoVe}
% Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
A model that returns text of a specified word count and writing style, given textual data of a particular writer. Used Recurrent Neural Networks. \sectionsep
\runsubsection{NUMBER PLATE RECOGNITION AND TEXT EXTRACTION}
% \descript{| Head Undergraduate Researcher}
\location{CCA, SVC, OpenCV, Firebase}
% Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
A model which uses Connected Component Analysis (CCA) and Support Vector Classifier (SVC) to extract the digits on a Number Plate which is further uploaded to Google Firebase to be used in an android application that monitors the vehicle activity in a parking lot.
Created at IIT-Delhi's Paytm Hackathon, 2019.
\sectionsep
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% RESEARCH
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% \section{Research}
% \runsubsection{Cornell Robot Learning Lab}
% \descript{| Researcher}
% \location{Jan 2014 – Jan 2015 | Ithaca, NY}
% Worked with \textbf{\href{http://www.cs.cornell.edu/~ashesh/}{Ashesh Jain}} and \textbf{\href{http://www.cs.cornell.edu/~asaxena/}{Prof Ashutosh Saxena}} to create \textbf{PlanIt}, a tool which learns from large scale user preference feedback to plan robot trajectories in human environments.
% \sectionsep
% \runsubsection{Cornell Phonetics Lab}
% \descript{| Head Undergraduate Researcher}
% \location{Mar 2012 – May 2013 | Ithaca, NY}
% Led the development of \textbf{QuickTongue}, the first ever breakthrough tongue-controlled game with \textbf{\href{http://conf.ling.cornell.edu/~tilsen/}{Prof Sam Tilsen}} to aid in Linguistics research.
\sectionsep
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% AWARDS
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\section{Position of Responsibilities}
% \begin{}{rll}
\runsubsection{Co-Founder} \\
\location{Code To School, an initiative wherein our team collaborates with schools across the country and teach high school students various programming languages and computer science skills.}
\sectionsep
\runsubsection{Co-Vice President} \\
\location{D-CODER, The Official Technical Society of DTU}
\sectionsep
\runsubsection{Content Head} \\
\location{Sahitya, The Literary and Debating Society of DTU}
% 2013 & 7\textsuperscript{th}/120 & CS 3410 Cache Race Bot Tournament \\
% 2012 & 2\textsuperscript{nd}/150 & CS 3110 Biannual Intra-Class Bot Tournament \\
% 2011 & National & Indian National Mathematics Olympiad (INMO) Finalist \\
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% PUBLICATIONS
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