Deevyansh Khadria

Software Engineer

New Delhi, Delhi, India1 yr 6 mos experience

Key Highlights

Implemented advanced software solutions during internships.
Led successful economic events enhancing practical learning.
Designed impactful educational materials for awareness.

Stackforce AI infers this person is a Software Development and Design specialist with experience in educational and data-driven projects.

Contact

devkhadria@gmail.com 7073011401 LinkedIn

Skills

Core Skills

Software DevelopmentCloud ComputingTeam LeadershipDesignData AnalysisPublicity

Other Skills

APIAdobe IllustratorAdobe PhotoshopAutoCADBlenderC (Programming Language)C++Complex Programmable Logic Device (CPLD)Context SwitchingCorporate CommunicationsFigmaFigma (Software)Google FirestoreGradient BoostingGraphic Design

About

I am currently senior at IIT Delhi, majoring in electrical engineering. Despite facing various challenges, I am determined to navigate through the ups and downs of my academic journey. My passion for electrical engineering has fueled my curiosity, prompting me to explore opportunities to work alongside experienced professionals. i am generally sleep deprived ,will do anything for the good travelling experience.

Experience

Samsung r&d institute india - bangalore

Software Developer Internship

May 2025 – Jul 2025 · 2 mos · On-site

Implemented JSLT Engine in Rust to migrate operations from cloud to hub, ensuring functions during internet outages. Developed an approach for storing and retrieving variable values within a given scope using a HashMap of stacks of values. Optimized method for O(1) variable allocation, value retrieval, and context switching between caller and callee functions

RustCloud ComputingHashMapVariable AllocationContext SwitchingSoftware Development

Economics club, iit delhi

2 roles

Coordinator

Promoted

May 2024 – May 2025 · 1 yr

Awarded Outstanding Contribution and Significant Contribution in consecutive years for leading the Economics Club. Led 20-member team conducting algorithmic trading and mock stock trading events, fostering practical understanding

Team Leadership

Design Executive

Oct 2023 – May 2024 · 7 mos

Designed posts, posters, and reels to create awareness and educate about economics across the institute.

Graphic DesignSocial MediaDesign

Aalborg university

Research Intern

May 2024 – Jul 2024 · 2 mos · Denmark

Implemented Gradient Boosting to predict future factory consumption, grid load, and balancing up/down regulation price. Calculated the Pearson coefficient between the factory and grid load data to predict optimal bidding hours for the factory.Designed frontend with Streamlit, Google Firestore as cloud database for bid storage and user data, backend in Python, enabling clear, graphical visualisation and understanding of the results for the user.

Gradient BoostingPythonStreamlitGoogle FirestoreData AnalysisSoftware Development