Hi, I'm Aman Kumar Singh
Software Developer | Full-Stack Engineer | Building scalable web applications with React, TypeScript & Salesforce
About Me
Software Developer with 1+ years of experience building scalable web applications and enterprise platforms. Proficient in full-stack development (React.js, Redux) and Salesforce (LWC, Apex), with a track record of improving performance, enhancing security, and delivering end-to-end solutions.
I design robust, user-friendly systems and collaborate with cross-functional teams to drive feature delivery and operational efficiency. Based in Lucknow, India — passionate about crafting elegant solutions to real problems.
Outside of work: exploring new technologies, contributing to open source, and writing technical articles. I enjoy learning and building with passionate teams.
Skills & Tech Stack
Technologies and tools I work with
Frontend
Proficient in all areas
Backend
Proficient in all areas
Tools & DevOps
Proficient in all areas
Other
Proficient in all areas
Work Experience
My professional journey and key achievements
Software Developer
TVS Credit Services
Led development of responsive and reusable UI components using React.js and Salesforce LWC, improving frontend development efficiency by 20% and reducing redundant code. Developed a knowledge base for call center executives, cutting average query handling time from 10 minutes to 1 minute and reducing TAT by 35%, while lowering call drop rates by 25%.
Graduate Engineer Trainee
TVS Credit Services
Automated business processes using Apex, reducing manual effort by 40%. Integrated third-party applications using REST APIs, streamlining workflows and reducing data entry errors by 25%. Configured Salesforce flows, approval processes, and validation rules as an admin.
Founding Engineer Intern
Codemate.AI
Coordinated end-user development using TypeScript, VS Code extensions, and vector-embedded databases with Firebase. Expanded a codebase and chat history integrated with AI, improving developer productivity by 40%. Implemented website authentication and user management using Firebase.
Research Intern
CPS VIT Chennai
Developed deep learning model achieving 92% accuracy in smoke classification using satellite imagery. Built distributed computing pipeline to efficiently process 500+ high-resolution images. Published research paper in Computers, Materials & Continua (CMC) journal.
Education
Academic background and achievements
B.Tech in Computer Science Engineering
Vellore Institute of Technology
DSA, OS, DBMS, CN, Web Development, ML
Featured Projects
Showcasing my best work and technical expertise
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Latest Blog Posts
Insights and stories from my technical journey
Publications & Research
A comprehensive study on implementing deep learning models for smoke detection in satellite imagery, achieving 92% accuracy. The research includes distributed computing pipeline for processing high-resolution satellite images and novel approaches to environmental monitoring.
Weekly Coding Activity
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