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Backend Engineer with 2+ years in distributed systems, microservices & AI platforms
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Backend Engineer with 2+ years of experience developing distributed backend systems, microservices, and high-performance APIs. Interested in building scalable AI platforms, inference-serving infrastructure, and production-grade RAG and agentic AI systems.
National Institute of Technology, Karnataka
M.Sc Physics · Physics
August 1, 2021 – June 30, 2023
HeyCoach
DSA & System Design Certification Program
N/A – June 30, 2024
Qulabs Softwares Pvt. Ltd.
Backend & Distributed-Systems Engineer
February 1, 2024 – February 28, 2026
Hyderābād, Telangana, India
Qulabs Softwares Pvt. Ltd.
Internship
July 1, 2023 – November 30, 2023
Hyderābād, Telangana, India
Edge Assisted Real-time Object Detection(POC)
March 1, 2026 – June 1, 2026
Implementing a distributed inference pipeline based on academic research. Designed dual pipeline: local tracking + edge CNN inference. Implemented adaptive frame offloading to reduce bandwidth usage. Experimented with parallel streaming and slice-based inference. Evaluated latency reduction in edge-assisted deep learning inference. Focus: real-time AI systems and distributed ML infrastructure.
PQC Compliance & CBOM Management Platform
August 1, 2024 – February 28, 2026
Architected a NIST-aligned Post-Quantum Cryptography (PQC) compliance solution that generated Cryptographic Bills of Materials (CBOMs) for enterprise applications, networks, and digital certificates. Implemented automated discovery and risk-scoring mechanisms to identify quantum-vulnerable cryptographic algorithms and assess organizational readiness for PQC migration. Developed backend services in Node.js and Python to provide actionable remediation strategies, enabling customers to reduce cryptographic risk and accelerate adoption of NIST-standardized PQC algorithms.
Quantum Random Number Generator
August 1, 2024 – February 28, 2026
Developed a secure quantum RNG with RESTful APIs, using Kong for key management and Keycloak for RBAC. Cut unauthorized access by 95%, boosted API speed by 30%, and achieved scalability with Docker.
Post-Quantum Secure VPN Solution
April 1, 2024 – February 28, 2026
Engineered a quantum-resistant VPN solution by integrating OpenVPN with OpenSSL OQS Provider, enabling the adoption of NIST PQC candidate algorithms including CRYSTALS-Kyber for key encapsulation and CRYSTALS-Dilithium for digital signatures. Developed backend automation and management services using Node.js, Python, and Express.js to streamline certificate provisioning, client onboarding, and secure tunnel configuration. Designed and optimized secure network infrastructure through advanced routing strategies, FortiGate firewall policies, and automated client configuration tooling, improving deployment efficiency and operational scalability. Conducted protocol validation and traffic analysis using mitmproxy and networking tools to evaluate the performance, interoperability, and security implications of post-quantum cryptographic integration.
Cultural Fit Analysis
The candidate's project diversity, particularly in cutting-edge areas like Post-Quantum Cryptography and Edge AI, suggests an innovative and forward-thinking individual. Their experience in a startup environment (Qulabs Softwares Pvt. Ltd.) indicates adaptability and a willingness to take on diverse challenges. The blend of professional and academic projects, including a DSA & System Design Certification, shows a commitment to continuous learning and skill development. The role as 'Backend & Distributed-Systems Engineer' aligns well with the target role, and the breadth of technical skills (programming languages, frameworks, cloud, DevOps, security) indicates a versatile engineer who can contribute across different aspects of a backend team.
Soft Skills & Operational Fit
The candidate demonstrates strong problem-solving skills, evidenced by their work in determining operational feasibility and driving root-cause diagnostics. Their experience in orchestrating cross-functional alignment and client interfacing suggests good collaboration and communication skills. The focus on anticipatory observability and self-healing recovery mechanisms indicates a proactive and resilient approach to system operations. The candidate's involvement in an architect function also points to a strategic and quality-focused mindset.