Technical Lead with 10+ years in Cloud-Native Applications & 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
Technical Lead with 10 years of experience designing, building, and scaling enterprise-grade cloud-native applications, microservices, and distributed systems. Strong expertise in Node.js, TypeScript, Python, Go, FastAPI, PostgreSQL, MongoDB, AWS, Kafka, Docker, and Kubernetes. Proven track record of leading engineering teams, architecting scalable platforms, optimizing system performance, and delivering mission-critical solutions for global enterprise customers.
Singhania University
Master of Technology · Computer Science & Engineering
August 1, 2020 – June 30, 2022
VTU Belagavi
Bachelor of Engineering · Computer Science & Engineering
August 1, 2012 – June 30, 2016
DTE Board Bangalore
Diploma · Computer Science & Engineering
August 1, 2008 – June 30, 2011
GSPANN Technologies
Technical Lead
July 1, 2022 – Present
India
Tech Mahindra
Senior Software Engineer
December 1, 2019 – July 1, 2022
India
Fuzen Software
Software Engineer
July 1, 2017 – November 1, 2019
India
Lean Data Technologies
Software Developer
May 1, 2016 – June 1, 2017
India
Apple
August 1, 2022 – June 1, 2026
• Designed and developed cloud-native platforms for Apple DevOps and SRE teams using Next.js, React, Node.js, Python, Go, Kubernetes, and Docker. • Built scalable backend services supporting platform automation, deployment workflows, infrastructure operations, and internal engineering tools. • Integrated Python services with Node.js middleware for secure inter-service communication and automation. • Implemented Go-based utilities for deployment automation and infrastructure tooling. • Worked extensively with Kubernetes Deployments, Services, ConfigMaps, Secrets, RBAC, Helm deployments, and AWS infrastructure. • Developed GenAI-powered applications using LLMs, Retrieval-Augmented Generation (RAG), prompt engineering, vector search, and API integrations to deliver intelligent recommendations, content generation, and workflow automation capabilities. • Implemented Apple Connect SSO (SAML), HashiCorp Vault integration, observability improvements, and performance optimizations.
NAD, New Age Delivery
January 1, 2019 – January 1, 2022
• Enterprise workforce management and employee upskilling platform serving 100,000+ employees globally. • Led a team of 6 developers and architected scalable Node.js and MongoDB-based services. • Implemented Kafka-driven event processing, database optimization, and reusable platform components. • Improved reliability, performance, and operational efficiency through monitoring and continuous optimization.
RDOPS, Reliable DevOps as a Solution
January 1, 2017 – January 1, 2019
• SaaS DevOps platform automating CI/CD pipelines, infrastructure provisioning, and deployment workflows. • Integrated AWS EC2 provisioning, DevOps tool APIs, and deployment orchestration capabilities. • Improved platform scalability, deployment automation, and user experience.
Multi-Tenant Saas Platform
January 1, 2016 – January 1, 2017
• Developed a multi-tenant platform supporting customer management, partner collaboration, and workflow automation. • Participated in client discussions, feature planning, architecture reviews, and full product lifecycle activities.
AWS Certified Cloud Practitioner
AWS
January 1, 2025 – Present
Cultural Fit Analysis
The candidate's diverse project experience, ranging from enterprise workforce management platforms to SaaS DevOps solutions and cloud-native platforms for large organizations like Apple, indicates adaptability and a broad understanding of different business domains. Their involvement in GenAI projects shows an interest in cutting-edge technologies and continuous learning. The leadership roles and mentoring experience suggest a collaborative and growth-oriented mindset, which aligns well with a positive team culture. The breadth of skills across frontend, backend, DevOps, and AI demonstrates a versatile and well-rounded technical professional.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership and mentoring capabilities, having led teams of 6-14 developers and mentored over 10 engineers. Their experience in architecture reviews, coding standards, and driving engineering excellence indicates a commitment to quality and operational best practices. Participation in client discussions and full SDLC activities suggests good communication and collaboration skills, essential for a Technical Team Lead. The focus on performance optimization and reliability improvements across multiple projects highlights a proactive and problem-solving mindset.