Avdhesh Dubey

Senior Software Engineer

Bengaluru, Karnataka, India3 yrs 7 mos experience

Highly StableAI Enabled

Key Highlights

Expert in FastAPI and Google Cloud Platform.
Led successful migration projects enhancing scalability.
Passionate about Generative AI and innovative solutions.

Stackforce AI infers this person is a Backend-heavy Fullstack developer with a focus on SaaS and Generative AI technologies.

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Skills

Core Skills

FastapiGoogle Cloud Platform (gcp)SqlJava

Other Skills

PythonPostgreSQLDockerGrafanaBackend DevelopmentGoogle Cloud StorageCascading Style Sheets (CSS)SpyglassAzure FunctionsAmazon BedrockComputer Vision ModelsAzure AI VisionRetrieval-Augmented Generation (RAG)OpenAI EmbeddingsSemantic Search

About

Passionate and dedicated software engineer with extensive experience in developing robust applications using FastAPI. Currently, I am leveraging my skills and knowledge to advance the field of Generative AI, driving innovation and creating intelligent solutions. My journey from back-end development to cutting-edge AI technologies reflects my commitment to continuous learning and my ability to adapt to the ever-evolving tech landscape. Excited to connect with fellow professionals and explore opportunities for collaboration and growth.

Experience

3 yrs 7 mos

Total Experience

3 yrs 7 mos

Average Tenure

3 yrs 7 mos

Current Experience

Ltm

2 roles

Senior Software Engineer

Promoted

Jan 2026 – Present · 5 mos · Bengaluru · Hybrid

Client : Procter & Gamble
Virtual Consumer Twins(VCT):
A GenAI-powered platform enabling brands to conduct efficient, affordable, and adaptable consumer research and concept optimization, offering real-world 1:1 consumer relationships at users’ fingertips.
My Role & Impact:
Backend Development: Designed and implemented all core APIs powering the platform, ensuring scalability, security, and high performance.
Infrastructure Migration: Led migration from Azure to GCP production environment.
Scale & Adoption: Supported deployment of 50,000+ virtual twins in 1 year, enabling 180+ research studies and serving 2000+ active users.
File Validation & Security Scanning Microservice:
Developed a cloud-native file validation API to enhance security for cloud storage operations on Google Cloud Platform:
Event-Driven Architecture: Leveraged GCS Eventarc triggers for real-time file validation upon upload
Security Scanning: Integrated YARA pattern matching for malware detection with automatic quarantine capabilities
Validation Pipeline: Implemented multi-layer validation (SHA-256 checksums, MIME type verification, file size constraints)
Tech Stack: Python, FastAPI, PostgreSQL, Google Cloud Storage, Docker
Observability: Built comprehensive logging system with structured JSON logs and Grafana integration
Production-Ready: Containerized deployment on Cloud Run with health monitoring and dependency status checks.