Tanishk Pandey

Software Engineer
New Delhi, IN.

About

Highly motivated and results-driven Software Engineer with a Bachelor of Technology in Computer Science (Data Science Specialization) and practical experience in developing scalable full-stack and mobile applications. Proven ability to optimize systems, enhance user experiences, and drive significant operational efficiencies, demonstrated through contributions to platforms supporting over 1 million daily active users and achieving substantial reductions in app crashes and financial transfer redundancies. Adept at leveraging a robust technical skill set, including React Native, Node.js, AWS, and MERN stack, to deliver high-impact solutions in dynamic environments.

Work

Gameskraft Technologies Pvt. Ltd.
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Software Engineer

Bengaluru, Karnataka, India

Summary

As a Software Engineer, Tanishk contributes to developing and scaling mobile features and microservices for a high-traffic platform, focusing on user experience and system efficiency.

Highlights

Engineered and deployed core mobile features utilizing React Native and Node.js microservices, effectively scaling to support over 1 million daily active users.

Successfully integrated AppsFlyer SDK and deep link navigation, replacing Firebase dependencies with a zero-issue production rollout, enhancing system reliability and user experience.

Architected and optimized critical deep link flows, resulting in a 35% improvement in user retention and a 20% increase in new version adoption rates.

Gameskraft Technologies Pvt. Ltd.
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Software Engineering Intern

Bengaluru, Karnataka, India

Summary

As a Software Engineering Intern, Tanishk focused on enhancing gameplay stability, optimizing asset delivery, and automating critical financial compliance processes.

Highlights

Significantly reduced RummyCulture app crashes by 87% and improved overall player stability by enhancing gameplay logic and UI components.

Implemented CDN-hosted asset sharing via AWS EC2 and Route53, boosting user engagement by 20% through optimized content delivery mechanisms.

Automated TDS compliance using the in-house Taxila service, improving data accuracy and increasing commissions by 0.5% on a substantial INR 300 Cr base.

Education

Netaji Subhas University of Technology (Formerly NSIT)
New Delhi, Delhi, India

Bachelor of Technology

Computer Science (Data Science Specialization)

Grade: CGPA: 8.5

Courses

Data Structures & Algorithms

Operating Systems

Object-Oriented Programming (OOP)

Computer Networks

Database Management Systems (DBMS)

Machine Learning

CRPF Public School Dwarka
New Delhi, Delhi, India

High School Diploma

CBSE Class XII

Grade: 90%

Awards

Selected for Amazon ML Summer School 2024

Awarded By

Amazon

Recognized for exceptional talent and potential in Machine Learning, selected for a highly competitive nationwide program.

Top 4865 Global Rank in LeetCode Contests

Awarded By

LeetCode

Achieved a top global ranking among a vast competitive programming community, demonstrating advanced algorithmic and problem-solving skills.

Solved 950+ Problems Across Platforms

Awarded By

LeetCode, GeeksforGeeks, Coding Ninjas

Demonstrated advanced proficiency in data structures and algorithms by successfully solving over 950 complex problems across leading coding platforms.

All India Rank 6954 in JEE Mains 2021

Awarded By

National Testing Agency (NTA)

Secured a strong national rank in a highly competitive engineering entrance examination, reflecting academic excellence and analytical aptitude.

Languages

English

Skills

Frameworks & Libraries

React, React Native, Express.js, Node.js, NLTK.

Databases

MongoDB, MySQL.

Cloud & Tools

AWS (EC2, Route53, CDN), Docker, Git, Firebase, AppsFlyer.

Programming Languages

C/C++, Python, JavaScript (ES6+), SQL, HTML, CSS.

Coursework

Data Structures & Algorithms, Operating Systems, Object-Oriented Programming (OOP), Computer Networks, Database Management Systems (DBMS), Machine Learning.

Projects

Contact Keeper

Summary

Developed a full-stack contact management system utilizing MERN Stack and JWT authentication for secure user and data interactions.

Cash Flow Minimizer System

Summary

Engineered a C++ graph-based optimization system designed to streamline financial transactions and reduce redundancies.

Twitter Sentiment Analysis

Summary

Developed a machine learning model for hate speech detection using Natural Language Processing (NLP) techniques to analyze Twitter sentiment.

Tanishk Pandey