Professional Experience
Collaborated with multiple international clients to architect, optimize, and maintain scalable software solutions across diverse tech stacks.
Key Projects & Clients
Lovelight
- ▹Built 3 freight integration services with idempotent event handling for distributed supplier APIs, reducing manual tracking overhead by 80%.
- ▹Optimized high-traffic pricing APIs by redesigning request contracts to transmit minimal identifiers, achieving a 350x payload reduction and higher throughput.
- ▹Designed and deployed CI/CD pipelines with GitHub Actions, cutting manual deployment effort by 90%.
Mindvalley
- ▹Built a centralized self-serve analytics platform by integrating 5+ data sources (Stripe, Zuora) into BigQuery using Airflow, DBT and Fivetran improving reporting accuracy by 75% for over 200 business users.
- ▹Refactored 3K+ lines of SQL into a dimensional star schema, reducing query latency by 40% and ETL runtime by 30%.
ReadyTech
- ▹Built an AI-powered web application to automate Recognition of Prior Learning (RPL) workflows, replacing manual student submissions and assessor reviews.
- ▹Implemented automated evidence analysis and qualification matching aligned with Australian government standards, reducing RPL processing time by 95%.
Times Educational Supplement (Tes)
- ▹Maintained operational stability of a critical School Management System by executing 3 major AWS upgrade cycles serving 250+ schools.
- ▹Automated SSL certificate renewals and SSM agent deployments using AWS Lambda, improving infrastructure reliability and operational efficiency.
Technical Skills
Go
C
C++
Python
JavaScript
TypeScript
Java
Data Structures & Algorithms
Overview
View Profile ↗808 submissions in the past year
Total active days: 364
Max streak: 244
Innovative Projects
Pathram - Blockchain-based Document Management and Tracking System
Developed an innovative web-based platform for tracking the status of documents submitted for approval within government departments, focusing on enhancing transparency, security, and efficiency in document workflows.
KEY FEATURES
- ▹Blockchain for Security: Immutable ledger ensures no unauthorized changes.
- ▹Digital Signatures: For enhanced document authenticity.
- ▹Transparency: End-to-end tracking of document approval stages.
- ▹Trust & Tamper-Proofing: Using IPFS for decentralized storage ensures data integrity.
Department Faculty Management System
Developed a web-client application, deployed via Vercel, that enables departments to manage and showcase faculty information effectively. Allows users to view faculty profiles and supports authenticated faculty members in managing their own details.
KEY FEATURES
- ▹Faculty Management: Includes functionalities like Create, View, Update, and Delete for faculty profiles.
- ▹Authentication: Secure faculty login for managing personal data.
- ▹APIs: Ensure efficient communication and data handling while maintaining security and performance.
E-Connect
This chatroom application allows multiple users to exchange messages over Bluetooth or a local Wi-Fi network using WebSocket technology for real-time communication.
KEY FEATURES
- ▹Real-time messaging using WebSockets for instant communication.
- ▹Bluetooth and local Wi-Fi connectivity for seamless chat experiences.
- ▹Clean, responsive UI built with Tailwind CSS for enhanced usability.
- ▹Modular and scalable architecture using Turbo monorepo for optimized development.
My Education
During my B.Tech, I gained a solid foundation in computer science, honing my problem-solving skills through hands-on projects. This experience fueled my passion for software development and taught me the importance of continuous learning in a rapidly evolving tech landscape.
Relevant Coursework
My Publications
A Strategy to Improvise Coin-age Selection in the Proof of Stake Consensus Algorithm
Publisher: IEEE
Date: 10 October 2023
Conference: 2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)
Abstract
Proof of stake is one of the consensus protocols in Blockchain technology. Within PoS, there are two common strategies employed for validator selection: Coin-age selection and Randomized block selection. However, both of these strategies have drawbacks when it comes to ensuring a fair selection of validators, leading to a phenomenon known as the 'rich getting richer' syndrome. The paper proposes a new consensus algorithm that introduces a novel parameter: The time stamp of staking tokens. Staking tokens are those minted by validators to participate in the staking process. By considering the timestamp of staking tokens minted before participating in the staking procedure, the proposed algorithm aims to address the shortcomings of the existing strategies. The algorithm seeks to eliminate the loopholes in the coin-age selection method and enhances it in terms of precision. Additionally, it aims to increase the randomness in choosing a validator, thereby mitigating the rich-getting-richer syndrome.
