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Full Stack Engineer with 6+ years in Python, Node.js, React, and Cloud
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Assessing your cultural and operational fit
Results-driven Full Stack Developer with 6.9 years of experience specializing in Python (Django, Flask, FastAPI), Node.js, React.js, and MongoDB. Adept at developing scalable web applications, designing intuitive UI/UX strategies, and implementing RESTful APIs for seamless integration. Strong expertise in backend architecture, efficient state management using Redux, cloud-based deployments on AWS, automation, CI/CD pipelines, and optimizing application performance for high-throughput systems.
SriRamaKrishnaInstituteOfTechnology
B.Tech · Information Technology
August 1, 2014 – June 30, 2018
Nueralrays AI
SeniorSoftware Engineer
February 1, 2025 – Present
India
Azure Softtech Solutions
Senior Software Engineer
July 1, 2023 – January 1, 2025
India
VHS Consulting India
Software Engineer
June 1, 2022 – June 1, 2023
India
Team Ware Solution
Software Engineer
August 1, 2021 – May 1, 2022
India
KGISL
Software Engineer
November 1, 2018 – December 1, 2020
India
Construction Materials & Resource Management System
February 1, 2025 – Present
A backend-driven inventory and resource management platform for construction sites, providing real-time visibility into material stock, vehicle usage, and site resource allocation. • Designed and developed the full backend using Django and Django REST Framework with a normalized RDBMS schema for inventory, resource, and role management. • Built CRUD APIs for construction materials (cement, raw materials, tools) and vehicle management with quantity tracking, usage logs, and low-stock alerts. • Implemented role-based access control (RBAC) distinguishing admin and site manager roles — admins manage global inventory, site managers operate within assigned project scopes. • Developed audit trail functionality to track all resource transactions (additions, deductions, transfers) with timestamps and user attribution. • Integrated search, filter, and export features for inventory reports, enabling data-driven procurement decisions. • Built a React.js frontend with HTML/CSS for inventory dashboards, stock summaries, and resource allocation views. • Deployed via Docker with Git-managed CI workflow, ensuring environment consistency between development and production.
Voyage Control - Logistics & Delivery Management Platform
February 1, 2025 – Present
A real-time logistics and delivery management platform enabling construction sites, event venues, and facilities teams to manage deliveries, on-site resources, and supply chain operations. Eliminates manual booking processes, reduces site congestion, and provides end-to-end visibility from supplier to site. • Designed the overall system architecture for the booking engine, including resource scheduling, capacity management, and conflict resolution workflows. • Developed RESTful APIs using Django REST Framework for managing deliveries, bookings, access point availability, and vehicle scheduling. • Implemented a complex business rule engine to enforce stand zone restrictions, vehicle type limitations, and site-specific access policies dynamically. • Built shared and non-shared access point capacity logic - supporting concurrent bookings with automatic slot validation and overbooking prevention. • Integrated Celery with Redis as the task queue backend for asynchronous processing of delivery confirmations, reminder notifications, and scheduled availability checks. • Collaborated with the AngularJS frontend team, designing clear API contracts and resolving integration issues to ensure seamless end-to-end feature delivery. • Improved system reliability by diagnosing and fixing critical resource-rule conflicts and booking flow edge cases in production. • Optimized high-throughput booking scenarios through query optimization, database indexing, and caching strategies. • Containerized services with Docker and managed deployment workflows using Git with proper branching and code review practices.
HRMS - Human Resource Management System
July 1, 2023 – January 1, 2025
A full-featured HRMS platform centralizing employee data management, payroll, recruitment, onboarding, performance tracking, attendance, and HR analytics. • Built the full backend using Django and Django REST Framework, with modular apps for employee records, leave management, payroll, and performance reviews. • Designed and implemented authentication workflows using OAuth2 and JWT, supporting SSO integration and secure token refresh mechanisms. • Developed RBAC for HR admin, manager, and employee roles — each with scoped access to relevant HR modules and sensitive data. • Built payroll computation engine with configurable tax slabs, deductions, and pay-slip generation exported as PDF. • Developed React.js frontend with Redux state management for real-time dashboard updates, attendance calendars, and performance charts. • Integrated email notification workflows for onboarding checklists, leave approvals, and performance review reminders. • Designed optimized PostgreSQL schemas with indexed queries for employee search, attendance aggregation, and reporting. • Deployed on AWS with Docker and Kubernetes for auto-scaling during payroll processing peaks.
Telecom Management System
July 1, 2023 – January 1, 2025
An API-driven telecom information exchange system supporting multiparty voice communication, TV services, email, and electronic messaging across platforms. • Designed and built RESTful APIs using FastAPI for high-performance telecom data exchange between internal services and third-party providers. • Developed backend logic using MongoDB for storing user session data, message threads, call logs, and subscriber profiles with TTL-based data expiry. • Integrated Twilio APIs for real-time SMS messaging, voice call management, and webhook-based event handling. • Implemented WebSocket-based real-time channels for live call status updates and in-app messaging. • Built role-based access layers to segment admin, support, and subscriber permissions within the platform. • Wrote PyTest-based automated tests for API endpoints, ensuring >80% coverage and reliable regression detection. • Deployed services on AWS EC2 with Docker containerization and Jenkins-managed CI/CD pipelines.
Learning Management System (LMS)
July 1, 2023 – January 1, 2025
A multi-user LMS platform handling course administration, documentation, tracking, reporting, automation, and delivery of educational content to students and instructors. • Developed multi-role dashboards for students, instructors, and admins using React.js with role-gated navigation and personalized content feeds. • Built course management APIs with Django REST Framework — supporting course creation, content uploads, module sequencing, and student enrollment. • Implemented media upload and streaming pipeline using AWS S3 for storing video lectures, PDFs, and assignments; served via pre-signed URLs for secure access. • Integrated real-time notifications using WebSockets for assignment due-date reminders, new content alerts, and instructor feedback delivery. • Developed analytics dashboards displaying student progress, quiz scores, course completion rates, and engagement metrics using Chart.js. • Implemented quiz and assessment engine with multiple question types, auto-grading, and instant result delivery. • Built content search and filter system with full-text search across course titles, descriptions, and module content using PostgreSQL full-text indexing. • Created background jobs with Celery for scheduled email digests, certificate generation, and report exports.
Banking Automation System
August 1, 2021 – May 1, 2022
An enterprise-grade banking automation platform supporting core banking operations, secure transaction processing, and fraud detection with real-time monitoring capabilities. • Developed secure RESTful APIs using Flask for account management, fund transfers, transaction history, and balance inquiries — compliant with banking security standards. • Implemented end-to-end encryption for sensitive financial data in transit and at rest; applied input sanitization and SQL-injection prevention throughout. • Integrated fraud detection algorithms using Python ML libraries (scikit-learn) — trained models on transaction patterns to flag anomalous activity with configurable sensitivity thresholds. • Built WebSocket-based live transaction tracking dashboard, providing real-time updates on pending, approved, and flagged transactions for operations teams. • Designed MongoDB document schemas for transaction ledgers, account snapshots, and audit logs with time-series indexing for historical queries. • Implemented role-based access distinguishing tellers, branch managers, and auditors — each with scoped transaction and reporting permissions. • Wrote comprehensive unit tests covering transaction workflows, fraud scoring, and API edge cases using PyTest. • Deployed on-premise with Docker Compose; integrated with Jenkins CI/CD pipeline for automated regression testing before every production release.
Cultural Fit Analysis
The candidate's diverse project portfolio across logistics, telecom, HR, education, and banking domains showcases adaptability and a broad range of problem-solving experiences. The consistent use of modern technologies (Python frameworks, React, Docker, Kubernetes, AWS) and emphasis on CI/CD and testing indicates a proactive approach to adopting best practices. The experience in various company settings (KGISL, Team Ware, Azure Softtech, VHS Consulting, Nueralrays AI) suggests an ability to integrate into different team cultures and contribute effectively. The target role of Full Stack Engineer aligns perfectly with the candidate's demonstrated skill set and experience.
Soft Skills & Operational Fit
The candidate's resume highlights collaboration with frontend teams, leading backend development, and improving system reliability, indicating strong operational fit and problem-solving skills. The detailed project descriptions suggest a methodical approach to design and implementation, which aligns well with senior-level expectations. The focus on security, performance, and testing (unit/integration tests, code coverage) demonstrates a commitment to quality and robust engineering practices.