AI and backend engineer with experience building production-scale platforms and AI systems end-to-end, from distributed data pipelines and scraping to LLM-powered RAG applications and deployment. Proven technical lead who architected backend/AI foundations, delivered core product features that supported a successful acquisition, and built recommendation, matching, and document intelligence systems using modern cloud infrastructure and event-driven design.

Jait Ramadandi Jeke

AI and backend engineer with experience building production-scale platforms and AI systems end-to-end, from distributed data pipelines and scraping to LLM-powered RAG applications and deployment. Proven technical lead who architected backend/AI foundations, delivered core product features that supported a successful acquisition, and built recommendation, matching, and document intelligence systems using modern cloud infrastructure and event-driven design.

Available to hire

AI and backend engineer with experience building production-scale platforms and AI systems end-to-end, from distributed data pipelines and scraping to LLM-powered RAG applications and deployment.

Proven technical lead who architected backend/AI foundations, delivered core product features that supported a successful acquisition, and built recommendation, matching, and document intelligence systems using modern cloud infrastructure and event-driven design.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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Work Experience

Sr. AI Engineer at Avvista.ai (acquired by Cato )
January 1, 2026 - Present
Founded and built the core AI-powered public procurement platform from scratch in ~2 months, contributing across backend, AI, data engineering, scraping, and MLOps. Architected and established backend, AI pipeline, and data infrastructure to enable developing, deploying, and scaling new features. Built large-scale tender monitoring and aggregation integrating 50+ government and enterprise procurement portals using distributed scraping and automated data pipelines. Developed AI-driven tender matching, relevance scoring, and qualification systems to identify high-potential opportunities. Implemented hybrid retrieval RAG enterprise chatbots using Milvus, FastAPI, and LLM orchestration. Built LLM/OCR-based document processing pipelines for procurement analysis, requirement extraction, and compliance workflows. Served as technical lead: owned architecture decisions, code review, and mentorship across backend and AI engineering.
Backend AI Engineer at MNC Group - MNC Innovation Center
August 1, 2025 - January 1, 2026
Built and integrated a recommendation engine using Recombee and FastAPI for personalized content delivery for streaming platforms. Designed and implemented web scraping pipelines with Pyppeteer to extract and structure social media data for talent management analytics and profiling. Developed and maintained BigQuery infrastructure for a TV advertising recommendation engine. Collaborated with AI engineers to design, integrate, and optimize machine learning-driven recommendation systems.
Freelance Backend Engineer at PBNU Digital
March 1, 2025 - October 1, 2025
Designed and developed a digital correspondence service using Go, GCP, serverless components, and PostgreSQL to streamline and optimize correspondence workflows. Architected and implemented scalable microservice architecture with Go and FastAPI to improve reliability, flexibility, and performance. Integrated robust security measures, CI/CD pipelines, and performed security assessments for all services. Provisioned cloud infrastructure with Terraform (Cloud Run, IAM policies, secure networking). Built GitLab CI/CD pipelines for automated deployments with code quality checks, secret management, and audit logging.
Software Engineer at Jublia
April 1, 2024 - April 1, 2025
Designed and developed an event engagement and matchmaking platform using Flask and FastAPI for high-performance asynchronous APIs. Enhanced and optimized queries for search term generation to improve user recommendations using Elasticsearch. Designed and implemented scalable APIs for syncing attendee data. Collaborated with infrastructure team to define Terraform modules provisioning Flask services for staging and production. Built and optimized semantic search using Elasticsearch relevance tuning, query expansion, and contextual matching to improve attendee discovery and matchmaking precision.
Freelance Software Engineer at Telkom Indonesia
August 1, 2023 - December 1, 2023
Developed an API Marketplace platform using Go, Protobuf, and gRPC Gateway. Built an API validation sandbox using CSV file uploads to convert inputs into API requests and handle responses. Implemented a feature to count requests sent and validate maximum daily request limits based on subscription plan.
Backend Developer at PT. Mekar Investama Sampoerna
March 1, 2022 - March 1, 2024
Designed and developed the fintech transaction dashboard using Django, Flask, and PostgreSQL to provide a visual summary of transactions for lenders/investors. Implemented scalable APIs and background workers for generating digital documents using Flask, Celery, Redis, and PostgreSQL. Developed a REST API for credit scoring calculations and repayment tracking using Flask, Google Cloud Tasks, and PostgreSQL.

Education

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Qualifications

Industry Experience

Software & Internet, Financial Services, Government, Media & Entertainment