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Data structures, Algorithms, C++, Python, Javascript, PHP, data scienc

Location:
Hyderabad, Telangana, India
Posted:
August 21, 2018

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Resume:

Daksh Anand Last Updated on *st August ****

https://github.com/dakshanand ac6q8k@r.postjobfree.com +91-703******* EDUCATION

INTERNATIONAL INSTITUTE

OF INFORMATION

TECHNOLOGY, HYDERABAD

B.TECH. + MS IN COMPUTER SCIENCE

AND ENGINEERING

Expected May 2020

CGPA: 8.44 (6 semesters)

DPS DWARKA

Delhi, India

SENIOR SECONDARY, CBSE

Percentage: 90.25

SECONDARY, CBSE

CGPA: 10

RELEVANT COURSES

MAJORGPA- 9.27

Data Structures

Algorithms

Operating Systems

Computer Programming

Computer System Organization

Artificial Intelligence

Computer Networks

IT Workshop

Digital Signal Analysis

Multi Agent Systems (Distributed AI)

Statistical Methods in AI

Complexity and Advanced Algorithms

Database Systems

Distributed Systems

Compilers *

*-CURRENTLY PURSUING

TECHNICAL SKILLS

PROGRAMMING LANGUAGES

C, C++, Python, MATLAB, SQL

WEB

Web2Py, JavaScript, HTML, CSS,

PHP

DATABASE

MySQL, Neo4j, BaseX

FRAMEWORKS & TECHNOLOGIES

Hadoop, Open MPI, PyTorch,

TensorFlow, Keras, Unity3D, OpenGL

3.0, Bootstrap, jQuery

EXPERIENCE

TAXI1WAY CO-FOUNDER & CTO

May 2016 – Present

A startup for booking inter-city one way taxi online. Designed and coded the entire Web App. A team of interns recently worked on a project under my guidance. IIIT HYDERABAD TEACHING ASSISTANT

• Data Structures Jan 2018 – April 2018

• Computer Programming Aug 2017 – Nov 2017

PRICEWATERHOUSE COOPERS, TAMPA DATA SCIENCE INTERN Aug 2018 – Oct 2018

The project involves working on real world business problems in the area of unstructured information extraction and NLP using Deep Learning architectures. MONITRA HEALTH CARE FULL STACK DEVELOPER

August 2016 – November 2016

A project to create their device maintenance platform in PHP. Worked in a team of 4. IIIT MACHINE LEARNING LAB UNDER GRADUATE RESEARCHER May 2017 – Present

Using Reinforcement Learning to train cognitive agents for complex decision making tasks. PROJECTS

RAFT CONSENSUS ALGORITHM

Implemented a simulation of Raft, a Distributed Consensus algorithm which solves the problem of getting multiple servers to agree on a shared state even in the face of failures. MINI DROPBOX

An Application Level program to keep two local/remote directories synced, similar to Dropbox, using python sockets.

LINUX SHELL

Developed a bash like shell using syscalls, that supports some user-defined and built-in commands, piping, I/O redirection and signals

TIC TAC TOE BOT

Developed a game agent for a 4x4x4x4 variant of Ultimate-Tic-Tac-Toe using Alpha-Beta pruning, Iterative Deepening Search, Zobrist Hashing. DHCP SERVER

A Local DHCP Server which implements Variable Length Subnet Masking, Dynamic IP allocation, DORA Protocol.

ACHIEVEMENTS

IOITC 2015

Qualified for IOI Training Camp and secured rank 15 all over India. HACKERRANKWORLDCUP2015

Ranked 89 Globally from over 4500+ teams

CODECHEF SNACKDOWN

Snackdown 2015: Ranked 192 Globally from over 8000+ teams Snackdown 2016: Ranked 278 Globally from over 13000+ teams ACM ICPC

2017: Ranked 95 in the Online Coding Round out of 5000+ Teams. 2016: Ranked 207 in the Online Coding Round out of 5000+ Teams.



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