Adhav Neeraj Sahebrao
DevOps & Systems Engineer | Google Cloud Certified
Professional Summary
DevOps & Systems Engineer focused on designing and operating scalable cloud infrastructure, CI/CD systems, and deployment automation. Certified in GCP with hands-on experience building maintainable Infrastructure as Code and production-grade platform tooling in Python. I prioritize mitigating technical risks early—whether that means automating 90% of manual workflows for developer productivity or deploying high-availability applications serving 300+ concurrent users. I take full ownership from infrastructure design to rapid deployment, ensuring systems are resilient, secure, and observable.
Skills
Cloud Infrastructure & System Design
GCP AWS Kubernetes (GKE) Docker Containers & cloud-native services Event-driven architectures
CI/CD & Infrastructure as Code
Terraform Git GitHub Actions CI/CD pipelines Deployment automation
Software & Platform Engineering
Python SQL Java JavaScript React REST APIs FastAPI
Observability, Reliability & Security
System Monitoring Performance profiling Cost & latency optimisation Fallback strategies
GenAI & AI Infrastructure
LLM orchestration (LangChain) RAG pipelines Prompt engineering AI coding assistants
Experience
Backend Engineer Intern
Feb 2023 - July 2023 Quantum IT Innovation Remote (Noida, India)
- Client enterprise applications (E-commerce and Sales Dashboards) faced performance bottlenecks and required reliable feature deployments without disrupting active users.
- Engineered and safely integrated new backend capabilities in Python/SQL, profiled and optimized slow database queries, and conducted performance testing for critical edge cases.
- Delivered maintainable, production-grade code that resolved downtime risks, improving overall system reliability and ensuring smooth deployments under load.
Key Projects
Production-Grade Application - Online Exam Platform
- Manual quiz conduction by teaching assistants was highly inefficient, requiring significant effort for distribution, monitoring, and grading.
- Architected and deployed a production-grade online exam platform on Google Kubernetes Engine (GKE) using Python (Django) and PostgreSQL, integrating continuous test automation and secure-by-design mechanisms.
- Eliminated the operational bottleneck, saving teaching staff over 50 hours per semester by securely serving 300+ students concurrently with real-time automated analytics and monitoring.
#Python
#Django
#REST APIs
#PostgreSQL
#Cloud
#Docker
#Kubernetes
#GCP
#System Architecture
#Java
#DSA
#SQL
Workflow Automation - n8n-Project
- A freelance HR client struggled with processing high volumes of resumes manually, which was slow, error-prone, and created a bottleneck in their recruitment pipeline.
- Engineered a secure, containerized workflow automation system using n8n and Node.js, integrating Gemini AI (Large Language Models) for automated resume parsing, candidate data extraction, and structured classification.
- Accelerated the recruitment pipeline significantly, cutting manual resume processing time by 90% and enabling reliable, instant candidate evaluation turnarounds.
#n8n
#Node.js
#JavaScript
#WebSockets
#REST APIs
#Docker
#Prompt Engineering
#Large Language Models
#Generative Artificial Intelligence
LLM RAG Pipeline on GCP Vertex AI
- A freelance client needed an automated way to extract accurate insights from large enterprise document repositories, previously relying on slow, error-prone manual review.
- Architected and deployed a complete end-to-end Retrieval-Augmented Generation (RAG) pipeline on GCP Vertex AI using Python, integrating Vector Search and Gemini LLMs for secure, context-aware querying.
- Delivered a highly scalable and hallucination-free AI solution that automated document analysis, drastically reducing information retrieval time and empowering the client with instant business intelligence.
#LLM
#RAG
#GCP
#Vertex AI
#Python
#Generative AI
Terraform Docker Provider - Two Tier Application Deployment
- Manual deployment of multi-tier applications across local and testing environments was inconsistent and error-prone, leading to configuration drift.
- Engineered a modular Infrastructure as Code (IaC) workflow using Terraform's Docker Provider to automate the provisioning of frontend containers, backend databases, secure networking, and persistent volumes.
- Achieved 100% reproducible environments, eliminating configuration drift and significantly accelerating local deployments by standardizing service dependencies in version control.
#Terraform
#Docker
#Networking
#IaC
#Linux
Testimonials
"The quality of delivery of work always met or exceeded expectations."
Education
Indian Institute of Information Technology (IIIT), Kota
2024 - 2026 M.Tech in Computer Science & Engineering (AI & Data Science) Kota, Rajasthan, India
Sandip Foundation (SITRC), Nashik
2020 - 2024 B.E. in Computer Engineering Nashik, Maharashtra, India
Certifications
- GCP - Associate Cloud Engineer
Google Cloud
- Claude 101
Anthropic
- Oracle Cloud - DevOps Professional
Oracle Cloud
- Oracle Cloud - Architect Associate
Oracle Cloud
Volunteering
Web Development Lead
Sep 2022 - Jul 2023 Google Developer Student Clubs (GDSC) – SITRC Nashik, Maharashtra, India
Served as Web Development Lead for GDSC at SITRC.
- The campus developer community needed practical exposure to modern deployment practices, collaborative workflows, and reliable web application development.
- Led student teams to build campus-wide web applications, establishing standard Git/GitHub version control workflows and hosting hands-on Google Cloud workshops.
- Successfully upskilled the community, mitigated deployment risks through systematic collaboration, and delivered reliable campus applications on time.
Languages
- English
Professional
- Hindi
Native
- Marathi
Native
- Gujarati
Fluent