Distributed Systems & Low-Latency Go
Deep study of Go concurrency runtime, lock-free patterns, high-throughput Kafka streaming, and distributed consensus mechanisms.
Senior Software Engineer with 4+ years in telecom-grade & SDN platforms, specializing in Golang, C++, Kubernetes-based microservices, and networking protocols. Delivering resilient architectures and AI-driven innovations.
I'm a Senior Software Engineer with 4+ years of experience in telecom-grade and SDN platforms, specializing in Golang, C++, Kubernetes-based microservices, and networking protocols. Proven ability to deliver high-quality solutions within tight deadlines, with a strong problem-solving mindset and a focus on architectural resilience.
Currently advancing my expertise through a Master of Science in Computer Science (Artificial Intelligence & Machine Learning) from Woolf University via Scaler Neoversity, I bridge the gap between carrier-grade distributed systems and cutting-edge GenAI/LLM applications.
Recognized as a Department Champion and "RC Legends" nominee at Radisys India for architecting "ASTRA", an AI-powered troubleshooting assistant built with RAG and local Ollama models.
Extracted directly from telecom, SDN, cloud-native & AI production environments
Continuous upskilling through production delivery, open-source participation, and focused AI/Cloud learning sprints.
βIn carrier-grade telecommunications and distributed platforms, 99.999% availability isn't an accident-it's engineered through deep protocol mastery, rigorous profiling, and relentless curiosity.β
Deep study of Go concurrency runtime, lock-free patterns, high-throughput Kafka streaming, and distributed consensus mechanisms.
Reliability engineering in Kubernetes microservices, custom CRDs, SRE observability pipelines, and Spirent Vipernet virtual simulation.
NETCONF/YANG schema modeling, DHCP switch boot sequencing, SIP/SDP/MSRP media stacks, and 64-bit C/C++ memory architecture.
Enterprise Retrieval-Augmented Generation architectures, local model orchestration with Ollama, embeddings search, and autonomous triage.
Consistently tracking daily technical learning sessions, code research, and system modeling.
Designing automated recovery mechanisms for SDN network switch pods in "not-manageable" states without dropping packet flow or needing operator intervention.
Connecting distributed Apache Kafka streams with automated testing suites for millisecond-level telemetry alerting and fault mitigation.
Modernizing mission-critical legacy telecom tools for the next decade of Linux operating systems while maintaining absolute backwards compatibility.
Deploying secure, on-premise generative AI architectures for automated triage of Jira tickets and technical telemetry without sending proprietary data to external APIs.
Woolf University (via Scaler Neoversity) - Rigorous specialization in deep learning, distributed ML systems, and algorithm design.
Awarded for architecting "ASTRA" (Automated Support & Troubleshooting Resource Assistant) utilizing local Ollama RAG pipelines.
Selected among thousands of applicants across India for solving high-complexity algorithmic challenges under strict time constraints.
Demonstrated competitive programming problem-solving agility across advanced graph theory and dynamic programming.
University of California, Irvine (Coursera) - Comprehensive foundation in Go routines, interfaces, concurrency paradigms, and network servers.
Advanced mobile architecture, RESTful API integration, Lottie micro-interactions, and Google Play Store deployment pipelines.
Cognitive Class / IBM - Statistical computing, data wrangling, model evaluation, and exploratory data visualization.
Hands-on mastery of routing tables, socket debugging, tcpdump/wireshark packet dissection, and kernel network tuning.
Real-world production engineering, distributed systems & award-winning AI solutions
Designed "ASTRA" using RAG and local Ollama models to automate Jira engineering ticket ingestion and technical troubleshooting. Crowned Department Champion in the T&A category and nominated for "RC Legends".
Designed and implemented an automated recovery mechanism for network pods, restoring full functionality when networking switches enter a "not-manageable" state. Integrated Kafka with Robot Framework to validate alarm topics for real-time fault detection.
Led the mission-critical migration of 10+ Media Engine tools (SAS, SAT, DC Stack) from legacy RHEL3.5 32-bit to 64-bit architecture on Rocky Linux 8.x. Resolved memory limits and guaranteed long-term OS stability.
Developed automated runbooks to provision Provider Edge (PE) and Router devices within Spirent Vipernet simulation environments, dramatically cutting network validation cycles and manual setup errors.
Orchestrated the BLR Pipeline automation using TestExecutor, slashing manual regression testing effort by ~40%. Containerized complex SFT environments using Docker to provide reproducible isolated test environments.
Authored custom alerting rules in pod-prometheus for TCA Alarms and developed transceiver health monitors, delivering carrier-grade observability for optical network interfaces and switch health.
Progression and carrier-grade accomplishments at Radisys India Pvt Ltd
Academic foundations and industry recognition
Advanced study specializing in Deep Learning, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and scalable AI systems architecture.
Comprehensive curriculum covering Data Structures, Computer Networks, Operating Systems, Database Management, and Systems Programming in C/C++.
Awarded at Radisys India for architecting "ASTRA" (Automated Support & Troubleshooting Resource Assistant) with RAG and LLMs.
Nominated for prestigious technical excellence and significant contributions to critical telecom and SDN infrastructure.
Active contributor and innovator in corporate AI hackathons, developing intelligent workflows for engineering operations.
Interested in discussing senior software engineeringopportunities? Reach out anytime. I usually reply within 24 hours.