Backend Engineer with 1+ years in Java, Node.js & Distributed Systems
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Backend Software Engineer specializing in designing scalable REST APIs, microservices, and distributed backend systems using Java, Node.js, PostgreSQL, Redis, Docker, CI/CD, and AWS. Experienced in concurrency handling, performance optimization, caching layers, high-availability system design, and distributed architectural patterns. Additional experience deploying ML inference pipelines and integrating AI/ML models into backend services.
Saint Louis University
Master Of Science · Computer Science
August 1, 2023 – June 30, 2025
KL University
Bachelor of Technology · Computer Science and Engineering (AI Specialization)
August 1, 2019 – June 30, 2023
OpenText
Developer Intern
August 1, 2022 – November 1, 2022
Bengaluru, Karnataka, India
AICTE
Cloud Intern
October 1, 2021 – December 1, 2021
India
Samsung PRISM
Audio Processing Intern
July 1, 2021 – March 1, 2022
Bengaluru, Karnataka, India
Job Recruitment Backend System
November 1, 2024 – Present
Built REST APIs for job posting, candidate search, and applicant tracking. Optimized SQL queries and added Redis caching, reducing search latency by 75%. Implemented distributed design patterns for high availability.
View ProjectSmart Assistance for Visually Impaired
March 1, 2023 – Present
Deployed a computer vision inference pipeline using FastAPI. Optimized model execution and batching to reduce inference latency by 35%. Integrated CV + NLP components for real-time user feedback.
Travel Tourism and Hospitality Management Web App
November 1, 2021 – Present
Developed backend APIs for booking, itinerary generation, and user management. Implemented authentication, CRUD operations, and server-side validation. Optimized MongoDB queries for large-scale travel datasets.
URL Shortener Backend
March 1, 2020 – Present
Implemented Base62 encoding with Redis write-through caching for fast lookups. Optimized SQL queries and indexing to reduce latency. Added rate limiting, analytics logging, and fault-tolerant routing.
Fundamentals of Data Analytics
NASSCOM
January 1, 2023 – Present
Azure AZ-900
Microsoft Certified
January 1, 2023 – Present
Advanced RPA Professional
Automation Anywhere
January 1, 2022 – Present
Cloud Infrastructure Foundations Associate
Oracle
January 1, 2022 – Present
The candidate scored 77% on the MERN : Intern test, indicating a good grasp of fundamental and intermediate concepts across the MERN stack.
Strengths
Limitations
Cultural Fit Analysis
The psychometric test score of 48% raises significant concerns regarding cultural fit. This low score points to potential challenges in areas such as logical reasoning, work attitude, stress management, and team collaboration, which are essential for thriving in a collaborative and demanding senior engineering environment.
Soft Skills & Operational Fit
The candidate exhibits good communication skills, scoring 86% in the English test, which suggests clarity and professional language usage. However, the psychometric test score of 48% indicates significant areas for development in logical reasoning, stress handling, and team collaboration, which are crucial for effective operational fit in a senior engineering role.