Solutions Architect

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 strong 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 – CTO Office, Tata Elxsi: 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.