Professional Summary:-

Solution-oriented Architect with strong experience in Python-based backend development, system design, API-led platforms, and modern software engineering practices. Skilled in translating business requirements into scalable architecture, guiding engineering teams, reviewing technical designs, and driving cloud-native and automation-led solutions. Brings robust exposure to AI/ML, GenAI-enabled application development, DevSecOps practices, database optimization, and stakeholder-facing technical solutioning.

Core Competencies

- Python backend architecture, technical design, and solution engineering.
- End-to-end system understanding across APIs, databases, microservices, and integration layers.
- Technical leadership for Python developers and backend engineering teams.
- Architecture reviews, design decision-making, code quality governance, and engineering best practices.
- AI/ML and GenAI-driven software development, including solutioning for intelligent applications.
- DevSecOps awareness, CI/CD practices, cloud-native deployment models, and secure engineering workflows.
- Customer-facing communication, stakeholder management, structured problem solving, and mentoring.

Technical Skills:- Programming, Backend & Architecture

- Python, Django, Flask, FastAPI, REST API design, backend development, and service integration.
- System architecture, scalable application design, microservices, API-first design, and design documentation.
- Database design and optimization across SQL and NoSQL environments.

AI/ML, GenAI & Modern Engineering

- AI/ML-enabled application development, GenAI solutioning, and intelligent automation concepts.
- Strong understanding of modern software engineering practices, code reviews, design patterns,



and reusable frameworks.
- DevSecOps, CI/CD, Git, Docker, Kubernetes, Linux, and release engineering awareness.
- Cloud-native development practices and event-driven / API-driven architectures.
- Good-to-have exposure to ETSI MANO frameworks and open-source contribution in NFV orchestration or telecom cloud ecosystems.

Leadership & Delivery

- Technical leadership, mentoring, solution governance, and architecture review ownership.
- Stakeholder-facing solutioning, structured communication, and customer presentation readiness.
- Ability to guide teams on design-level decisions, implementation approach, and quality outcomes.

Professional Experience Snapshot

- Architect Drives architecture and technical solutioning for software platforms, backend systems, and cloud-native engineering initiatives.
- Leads technical discussions across Python, system design, API development, AI/ML-enabled platforms, and DevSecOps practices.
- Reviews architecture, validates design decisions, evaluates technical depth, and provides guidance to engineering teams.
- Demonstrates strong communication, structured thinking, solutioning ability, and leadership potential in customer and internal technical forums.

Relevant Strengths

- Deep Python expertise with strong backend and API architecture orientation.
- Broad exposure across AI/ML, GenAI, cloud technologies, DevSecOps, databases, and application architecture.
- Strong fit for Python Technical Lead, Solution Architect, Backend Architect, or AI/ML-enabled platform leadership roles.

Target Role Fit: Python Technical Lead / Solution Architect / Backend Architect / AI-Enabled Platform Architect Domain: Telecom, Cloud-Native Engineering, AI/ML Platforms, DevSecOps, Backend Systems

📌 Network Architect (Bengaluru)
🏢 Tata Elxsi
📍 Bengaluru