24.10.2026 aktualisiert


Premiumkunde
100 % verfügbarEnterprise Software Delivery | Data & AI Engineering | Full‑Stack, DevOps, QA, & Stakeholder‑Mgmt
Bangalore, Indien
Weltweit
Masters in TechnologyÜber mich
OneON delivers AI, data engineering, ETL, Microsoft Fabric, Azure, AWS, Python, Java, TypeScript, full‑stack apps, DevOps, CI/CD, Kubernetes and cloud automation. Senior engineers ensure scalable architecture, fast delivery and reliable remote execution for EU clients.
Skills
Azure DatabricksJavaAPIsApache AirflowCloud ComputingCloud-EngineeringData ArchitectureDatenqualitätDevOpsDjangoGitHubJava ArchitecturesPythonMarketing-AktivitätenProjektmanagement
Engineering‑Partner für KI, Datenplattformen & Full‑Stack‑Software
Architektur •Entwicklung •QA •DevOps •Skalierbare Teams
OneON ist ein Engineering‑Partner aus Bangalore, der KI‑Lösungen, Datenplattformen und skalierbare Software für europäische Unternehmen entwickelt. Wir kombinieren Senior‑Architekten mit leistungsstarken Engineering‑Teams, um verlässliche, reproduzierbare und compliance‑konforme Systeme zu liefern.Unsere Arbeitsweise entspricht deutschen Erwartungen: präzise, dokumentiert, transparent, risikoarm.
Leistungen
1.KI & Machine Learning
LLM‑Integration OpenAI, Azure, On‑Prem
Modelltraining & Fine‑Tuning
NLP, Computer Vision, Anomalieerkennung
MLOps, Monitoring, Deployment
2.Daten & Plattformen
ETL/ELT‑Pipelines (Airflow, Glue, Synapse, Snowflake)
Data Lakes & Warehouses
Realtime‑Datenverarbeitung
Datenqualität, Governance, GDPR‑Compliance
3.Full‑Stack‑Softwareentwicklung
React,Angular,Next.js
Node.js, Python, Java 17/21+,FastAPI, Spring Boot,
Microservices,API‑Design
Cloud‑native AWS,Azure,GCP
4.QA & Testautomatisierung
Funktionale Tests
Selenium,Postman,JMeter
Regression,Performance,API‑Tests
Teststrategie,Release‑Management
5.DevOps & Infrastruktur
CI/CD‑Pipelines
Docker,Kubernetes
Observability,Logging,Monitoring
Infrastruktur‑Automatisierung (Terraform)
Warum OneON?
✔Architektur‑getriebene Umsetzung– erst Architektur, dann Entwicklung
✔Deutsche Arbeitsweise– Struktur, Klarheit, Dokumentation, Verlässlichkeit
✔Skalierbare Teams– 1 Senior‑Architekt bis 10+ Entwickler
✔Multi‑Country‑Rollouts– Indien, Afrika, EU inkl. Compliance‑Audits
✔Patente & technische Tiefe– IoT‑Systeme, Edge‑AI, DPI‑Plattformen
✔Transparente Kommunikation– wöchentliche Demos, klare Sprints, messbare Ergebnisse
Beispielprojekte
1.KI‑gestützte Wildtier‑Konfliktplattform
Edge‑AI, Sensorfusion, Realtime‑Alerts; Multi‑Country‑Deployment; Architektur + Umsetzung + Betrieb
2.Zero‑Client‑Prüfungsplattform
100.000+gleichzeitige Nutzer; sichere Browser‑Umgebung; skalierbare Cloud‑Architektur
3.Datenplattform für Supply‑Chain‑Transparenz
ETL‑Pipelines, Dashboarding, Compliance‑Reporting
4.IoT‑Steuerungssystem (Patentiert)
Hardware+Firmware+Cloud; Realtime‑Monitoring; Predictive Maintenance
Arbeitsmodell
1.Discovery‑Phase (1–2 Wochen)
Anforderungsanalyse, Architekturentwurf, Aufwandsschätzung
2.Sprint‑basiertes Delivery‑Modell
2‑Wochen‑Sprints, wöchentliche Demos, klare Meilensteine
3.Qualität & Sicherheit
Code‑Reviews, automatisierte Tests, Security‑Checks
4.Übergabe & Betrieb
Dokumentation, Monitoring, Support
Technologien
Frontend: React,Angular,Next.js
Backend: Node.js,Python,Java,FastAPI,Spring
Daten: Snowflake,PostgreSQL,MongoDB,Airflow,Glue
Cloud: AWS,Azure,GCP
DevOps: Docker,Kubernetes,GitHub Actions,Terraform
KI/ML: PyTorch,TensorFlow,HuggingFace,LangChain
Preise
€299–Architektur‑Review
€999–Prototype Sprint (1 Woche)
€2.999–€7.999/Monat–Dediziertes Entwicklerteam
€45–€55/Stunde–je nach Seniorität
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2021
Sprachen
EnglishverhandlungssicherHindiverhandlungssicher
Projekthistorie
Delivering project support and end‑to‑end development across 50+ technologies, specializing in remote and hybrid engagement models with technical support, troubleshooting, and development assistance. https://www.oneon.in/support
Data Engineering & ETL Project Portfolio
Project 1 — Metadata‑Driven ETL (Azure Data Factory) Built metadata‑driven ADF pipelines using SQL Server config tables to automate multi‑source ingestion. Enabled dynamic table selection, load types, and rules without pipeline changes. Delivered scalable, reusable ETL workflows.
Tech: ADF, SQL Server, ETL
Project 2 — Databricks ETL (PySpark) Developed PySpark pipelines for large‑scale ingestion, cleansing, and transformation. Implemented Medallion Architecture (Bronze/Silver/Gold) and optimized Spark jobs for analytics workloads.
Tech: Databricks, PySpark, Delta Lake
Project 3 — Palantir Foundry Pipelines Built end‑to‑end PySpark workflows transforming raw data into curated business datasets. Implemented Medallion Architecture, ensured data quality, and delivered reliable models for reporting and analytics.
Tech: Foundry, PySpark, ETL
Project 4 — Microsoft Fabric Analytics Developed PySpark notebooks and Lakehouse pipelines for ingestion and transformation. Built semantic models and integrated datasets with Power BI dashboards. Managed Fabric workspaces, scheduling, and refresh monitoring.
Tech: Microsoft Fabric, Lakehouse, PySpark, Power BI
AI Chatbot (RAG) Implementation for Farmer & Enterprise Platforms
- Delivered a production‑grade AI Chatbot using Retrieval‑Augmented Generation (RAG) for onboarding, crop registration, procurement, traceability, and compliance workflows.
- Engineered by OneON’s full‑stack team (Anowar Hussain Mondal & Winterson Islary) using Java Spring Boot, Node.js, Python, Next.js, PostgreSQL/pgvector, Redis, RabbitMQ, Docker, Kubernetes.
- Implemented full RAG pipeline: document ingestion, chunking, embeddings, semantic ranking, metadata filtering, and pgvector‑based vector search, achieving sub‑150ms retrieval latency.
- Integrated Google Gemini FlashLite, Flash, and Pro models for FAQs, workflow guidance, and document reasoning.
- Built a retrieval‑first architecture to ensure grounded responses and reduce hallucinations.
- Added Hugging Face Guardrails for prompt filtering, sensitive‑content detection, input/output validation, and multi‑agent evaluation loops.
- Developed a lightweight Next.js web chat interface optimized for low‑bandwidth rural environments.
- Deployed backend on Docker + Kubernetes with CI/CD pipelines and full observability (Prometheus, Grafana, Loki, OpenTelemetry).
- Integrated with farmer profile APIs, procurement systems, and traceability modules.
- Result: Reduced support load, improved workflow accuracy, and delivered a secure, scalable AI assistant for farmers and field teams.
1.Delivered a fully secure, lockdown based digital examination ecosystem using ultra light zero client devices for an African Government education authority.
2. Implemented AI based Face ID authentication to ensure only verified candidates can access the exam environment.
3. Enabled seamless student registration and onboarding, linking identity, biometrics, and exam eligibility in a unified workflow.
4. Deployed a robust VDI infrastructure with dedicated VMs per candidate, ensuring complete isolation, security, and consistent performance.
5. Provided centralized tools for exam creation, scheduling, and multi session orchestration across distributed exam centers.
6. Integrated AI driven proctoring with webcam, screen, posture, and activity monitoring to maintain high exam integrity.
7. Achieved real time autosave and atomic answer submission, ensuring zero data loss even under peak concurrency.
8. Delivered digital certificate generation with secure templates, institutional signatures, and tamper proof output.
9. Added QR code based verification, enabling instant validation of certificates by employers, universities, and government agencies.
10. Successfully executed a multi site rollout, demonstrating readiness to scale from 25 devices to 300, 1,000, and beyond for national adoption.