Aditya Verma
Aditya Verma

Full Stack Developer

Actively looking · Member since 26 Aug 2026
Message
Location
Gurugram, India
Desired salary
Unspecified
Work preference
Remote Only / Full Time, Part Time, Contract, Freelance, Volunteer, Internship, Temporary
Experience level
Junior

About

Professional summary

I am a Full Stack Developer with over one year of experience building scalable, production-grade web applications and end-to-end business solutions. I specialize in developing efficient systems, improving application performance, and solving complex engineering problems in fast-paced environments.

I have professional experience developing enterprise CRM, deal flow, inventory management, quotation, reporting, and ticket management systems. My work spans frontend development with React.js and Next.js, backend development with Node.js and TypeScript, database optimization, and microservices architecture.

I have built AI-powered enterprise workflows using prompt engineering and LLM-based automation, including deal recommendation and quotation-generation capabilities. I am also experienced in integrating AI services into practical business applications.

I have strong experience with SQL query optimization, REST APIs, Redis caching, Docker-based deployments, and AWS infrastructure. I have improved critical API response times through indexing and efficient data retrieval strategies, while also building CI/CD pipelines using Jenkins.

I enjoy building full-stack products involving real-time communication, payment systems, authentication, role-based access control, and cloud deployment. I bring a strong foundation in computer science, data structures, algorithms, system design, and open-source contribution.

Notice period: Immediately

Skills

32 capabilities

Tech stack & tools

Working toolkit

Experience

Career history

Software Engineer MiClient

Designed and implemented an AI-powered deal recommendation architecture that analyzes historical deal outcomes and product combinations to recommend high-probability product bundles for enterprise sales users. Built AI-assisted quotation and deal-generation workflows using prompt engineering and LLM-based automation to create structured deals from natural-language requirements.

Engineered CI/CD pipelines with Jenkins and Docker-based deployments on AWS EC2, including automated build, testing, and release workflows. Collaborated on scalable Node.js, TypeScript, and Redis microservices supporting AI-powered CRM, quotation management, and enterprise workflow automation, with Nginx configured as a production reverse proxy.

Software Engineer Intern MiClient

Developed and maintained enterprise CRM, deal flow, and inventory management modules using React.js, Node.js, TypeScript, and MySQL for B2B sales operations. Built Node.js microservices for business workflows and created an internal ticket management system that supports ticket tracking, assignment, escalation, and support-request management.

Built high-performance reporting APIs and optimized complex SQL queries, reducing a critical API response time by 77%, from 970ms to 220ms, through query optimization, indexing, and efficient data retrieval. Automated ticket lifecycle notifications with scheduled cron jobs and email reminders to improve SLA compliance and reduce manual follow-ups.

Education

Learning history

Vellore Institute of Technology

Bachelor of Technology, Computer Science and Engineering

Bachelor of Technology in Computer Science and Engineering. Completed coursework and practical development work focused on full-stack development, data structures, algorithms, system design, cloud technologies, and machine learning.

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