NishalChandra Reddy
I design, build, and ship scalable web applications, microservices, and distributed systems — with four years delivering production software.
About
Full Stack Developer with 4 years of experience architecting and shipping scalable web applications, microservices, and APIs — end to end.
I specialize in building production-grade distributed systems and cloud-native solutions with Spring Boot, Node.js, and React, and in integrating AI/ML technologies where they deliver measurable business impact.
A recent Master's graduate in Computer Science from Arizona State University, I bring deep expertise in machine learning and data engineering, with a proven track record of delivering reliable, high-performance software at scale.
Experience
Software Developer @ Ecohome.one
- Built and optimized scalable full-stack systems and RESTful APIs with Node.js, React, MongoDB, AWS and Cloudflare for seamless frontend–backend integration.
- Integrated AI and LLM models to automate workflows and deliver personalized user experiences.
- Architected cloud-native microservices for scalability and cost efficiency, cutting infrastructure spend by 25%.
- Collaborated across functions to ship production-ready, user-centric solutions on schedule.
Senior Software Developer @ Comviva
- Directed a cross-functional team of five — mentoring, running architecture reviews, and aligning engineering with product, lifting velocity 25% and code quality 30%.
- Led the architectural redesign of the MobiLytix Loyalty & Rewards platform with Domain-Driven Design, boosting throughput 60% and feature delivery 35%.
- Architected event-driven Kafka pipelines reliably processing 700K+ daily transactions at sub-200ms latency, improving consistency 50%.
- Migrated on-prem infra to SaaS cloud on AWS with centralized ELK logging — cutting costs 40% and speeding incident resolution 80%.
Software Developer @ Comviva
- Delivered new features for the campaign rules engine, enabling personalized reward programs and raising engagement 20%.
- Enhanced the Toll-Free Data Access system with C/C++ traffic monitoring, Redis session management, and Node.js reverse-proxy logic — improving reliability 25%.
- Built CI/CD pipelines with GitLab CI, Jenkins, and SonarQube — increasing deployment frequency 40% and reducing production errors 30%.
- Integrated Prometheus and Grafana for real-time oversight, curtailing downtime ~35%.
Projects
Swarm Intelligence Distributed Database
2024A scalable, fault-tolerant distributed database ingesting 10M+ IoT data points daily via Kafka and MongoDB sharding, with AI-driven query optimization using Ant Colony & Particle Swarm Optimization.
NetGuardian AI
2024End-to-end ML pipeline predicting severity of problematic internet use from 10,000+ hours of actigraphy time-series, using autoencoders and ensemble learning tuned with Quadratic Weighted Kappa.
Serverless Face Recognition
2024An end-to-end serverless pipeline triggered by S3 uploads with Dockerized ffmpeg for frame extraction, deploying ResNet-34 via OpenCV for real-time inference on 1GB+ videos without managing servers.
Tech Stack
Languages
Frameworks
Cloud & DevOps
AI / ML & Data
Databases
Observability
Let's build something.
Open to full-stack, backend, and AI/ML engineering roles. The fastest way to reach me is email.