Parinay S.
AI Backend Engineer @ Techolution | Building Agentic LLM Systems & DevOps Automation | Google Cloud Next \'25 Builder | GE Healthcare Challenge Winner
- Role
- Associate Python Developer at techolution
- Location
- New Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Parinay S.
AI-Driven Backend Engineer | Scaling LLM Systems & DevOps AutomationI design and build agentic LLM-based systems, scalable AI inference pipelines, and developer productivity tools — merging the worlds of backend engineering, GenAI, and cloud-native DevOps.Currently at Techolution, I’ve led engineering for AppMod.ai, a Google Cloud Next \'25 showcase tool that analyses 10 M+ lines of code across 10+ languages using RAG, AI agents, and CI/CD automation.I’m passionate about turning AI into real-world tools — from building VSCode extensions to automating cross-language refactoring pipelines. Tech Stack I Love:– Backend/Infra: Python, FastAPI, Flask, MongoDB, PostgreSQL, GitHub Actions– AI/LLMs: OpenAI, Mistral, Claude, Transformers, RAG, LLAVA– DevOps/MLOps: Docker, Kubernetes, Terraform, GCP, Azure– Vector Search: Pinecone, FAISS, AlloyDB Highlights:– Winner: GE Healthcare Precision Care Challenge 2024– Built Thrive – AI-powered patient triage engine using MedQA, PubMedQA– Top 52: Amazon ML Challenge ’23 Always open to building with ambitious teams working on next-gen AI systems or productivity tools.
Experience
Associate Python Developer
Jul 2024 — Present · Hyderabad, IN
Key Contributions• Engineered AI-powered DevOps pipelines, automating 90% of code refactoring and unit testing across C#, PHP, Terraform, Python, and JavaScript.• Integrated AppMod.ai with GCP DevOps using GitHub Actions, enabling seamless multi-language CI/CD automation.• Built cloud-based AI automation layers to boost deployment efficiency and software maintainability.• Collaborated across teams to implement AI-driven static code analysis, reducing manual review cycles and accelerating delivery. Impact• Cut manual DevOps effort by 40%, and improved CI/CD throughput by 25%.• Enhanced code quality and development speed via automated static analysis workflows.• Contributed to AppMod.ai, a Google Cloud Next \'25 spotlight product generating $2M+ in impact. Stack: Python, FastAPI, Flask, Terraform, GitHub Actions, GCP, Azure DevOps, Docker, Kubernetes
Education
Vellore Institute of Technology
Bachelor of Technology - BTech, Artificial Intelligence and Machine Learning
Ch. Chhabil Dass Public School
Secondary School
Ch. Chhabil Dass Public School
Higher Secondary School
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