About Me
Staff Software Engineer with 7+ years building Python backends, microservices, and AI-driven automation at scale. I design secure APIs and distributed systems, engineer high-performance data pipelines with Kafka and Airflow, and integrate LLMs — RAG, agents, and function calling — into enterprise workflows that measurably cut costs and accelerate decisions. I lead cross-functional delivery and translate business requirements into scalable, maintainable architectures.
Technical Skills & Expertise
Application Engineering
Programming & Frameworks
Tools
Python: FastAPI, Flask, Django
JavaScript/TypeScript: React, Next.js
Go: Gin, Echo, Fiber
Value I Add
Clean service design, reusable architecture patterns, maintainable codebases, and faster feature delivery
APIs & Messaging
Tools
Webhooks, WebSocket, REST, GraphQL, gRPC
Value I Add
Contract-first API design, secure integrations, versioning, and performance tuning for scalable services, API security with OAuth2/OIDC, JWT, RBAC/ABAC, rate limiting, and auditability
Databases
Tools
PostgreSQL, MongoDB, Elasticsearch, Redis, SQL Server, Cassandra
Value I Add
Schema and data modeling, query optimization, indexing strategy, and reliability-oriented data architecture
Data, AI & Platform
Data Engineering
Tools
Kafka, Airflow, AWS S3, ETL Pipelines, AWS Glue
Value I Add
Resilient batch/stream pipelines, data quality guardrails, and production-ready analytics foundations
GenAI Features
Tools
Agentic RAG, fine-tuning, function/tool calling, prompt chaining, orchestration, and re-ranking
Value I Add
Business-ready AI workflows that improve accuracy, automate operations, and reduce manual effort
Platform & Environment Span
Tools
On-prem, cloud-native, hybrid-cloud, multi-cloud, containerized workloads, Kubernetes/OpenShift
Value I Add
Platform standardization, secure-by-default architecture, and smooth modernization across mixed environments
Operations & Delivery
DevOps & Cloud
Tools
Docker, Kubernetes, Jenkins, GitHub Actions, OpenShift, AWS
Value I Add
Faster release cycles, stable CI/CD, secure delivery controls, and cost-aware cloud operations
Network & Observability
Tools
Grafana, Dynatrace, NetBrain, ExtraHop, Corvil
Value I Add
End-to-end visibility, faster incident triage, proactive performance tuning, and measurable reliability improvement
Leadership & Delivery
Tools
Architecture reviews, mentoring, shell scripting, CI/CD, and delivery automation
Value I Add
Clear technical direction, stronger engineering practices, and higher team execution velocity
Key Projects
Network Validation Platform
Pre/post-change automation for Cisco NX-OS, IOS and IOS XE — reduced validation time from weeks to 10 minutes while preventing “quiet failures” missed by manual checks.
AI Multi-Agent Workflow Platform
LangGraph-powered supervisor/sub-agent architecture for network ops, cutting manual troubleshooting by 40% and delivering a full-stack FastAPI + Kafka chatbot solution.
Automated Device Certification
PDF ingestion + RAG pipeline that auto-generates pytest suites and Allure reports — eliminated contractor costs and compressed certification time from weeks to minutes.
Enterprise Data Platform
Kafka + Airflow ETL pipelines from Grafana, PostgreSQL, and Dynatrace into an AWS S3 data lake, with real-time dashboards cutting data-access latency by 35%.
Professional Experience
Lead / Staff Engineer — RBC
May 2025 – PresentLeading network automation — validation, certification, and topology platforms transforming manual processes into intelligent, scalable systems.
Senior Developer — RBC
Aug 2024 – May 2025Architected enterprise data platform MVP with Kafka, Airflow, and AWS — ETL pipelines, real-time analytics, and microservices on OpenShift/Kubernetes.
Software Engineer — RBC
Jun 2023 – May 2024Transformed monolithic chatbot into microservices with Kafka messaging, LangChain RAG pipeline, and cloud-native Kubernetes deployment.
Education
Sheridan College
Postgraduate Diploma
Sep 2017 – Sep 2019
Gujarat Technological University
B.Tech, Electronics Engineering
May 2011 – Jun 2015