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Backend & AI Engineer

Adarsh Sinha

Software Developer

Focused on backend engineering, production infrastructure, and developer-first product execution across cloud, data, and applied machine learning.

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About Me

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Software Developer specializing in backend engineering and applied AI. I build scalable REST APIs, design reliable data flows, integrate ML models into production, and deploy services on containers and cloud. Comfortable across Proxmox/LXC, Docker, CI/CD, and database-backed systems; I enjoy translating product goals into robust, maintainable backend architectures.

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My Academics

Education

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Explore My

Experience

Software Developer
@ goML, India (Mar 2026 – Present)

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Backend Development

Built and maintained application services and APIs

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Product Engineering

Delivered features aligned with product and business needs

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System Reliability

Improved performance, debugging, and deployment workflows

SDE 1
@ Vakeel AI, India (May 2025 – Feb 2026)

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Scalable REST APIs

High-throughput backend services & load balancing

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Infra

Proxmox/LXC, Dockerized services, HA

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CI/CD & IaC

Automated pipelines and cloud-native workflows

Data Engineer
@ CertifyOS, New York, USA (Dec 2024 – Apr 2025)

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Airflow Pipelines

Automated ETL for scalable ingestion & delivery

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API Integrations

Unified data access across multiple sources

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Cloud & ML

GCP & Vertex AI experimentation and integration

Associate Software Engineer
@ Proeffico Solutions, Noida (Aug 2023 – Nov 2024)

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Backend + ML

Production services integrated with ML

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DocGPT

NLP bulk analysis, summarization & entity extraction

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Dev Practices

JWT auth, Agile, CI/CD (Jenkins, GitHub Actions)

Software Developer Full‑stack Intern
@ TechLadd, Pune (Jan 2023 – July 2023)

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Django REST + React

Robust client–server interactions

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Testing & Profiling

Performance optimization and debugging

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CI/CD

Improved deployment flow with pipelines

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Browse My Recent

Selected Projects

Eeveon project

Eeveon

Developer-focused product platform spanning deployment workflows and meeting intelligence, built with a strong engineering-first brand and product surface.

QueryMind project

QueryMind

Search-augmented AI backend that retrieves live web results, extracts page content, and feeds grounded context into a local LLM pipeline through FastAPI and Ollama.

Medical Image Fusion project

Medical Image Fusion

Research-led imaging project on multi-modal medical image fusion, focused on improving visual quality and information retention for downstream diagnosis.

Pose Detection project

Pose Detection

Computer vision project for detecting and tracking human pose landmarks, built to explore real-time inference and movement analysis workflows in Python.

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Get in Touch

Contact Me