Jordon Robert Celestine
Senior Lead Software Engineer
Senior Full-Stack Engineer | End-to-End Product Builder
Results-driven Senior Software Engineer with 12 years of experience designing, building, and scaling complete web applications from user interfaces to databases. Specializes in creating intuitive user experiences with React/TypeScript while developing robust backends with Node.js, Python, and Go. Integrates AI features to enhance product functionality and leverages DevOps practices to ensure applications run smoothly at scale. Proven ability to drive user engagement, reduce operational costs, and deliver reliable systems in remote-first environments. Thrives in cross-functional teams, collaborating with product managers, designers, and stakeholders to translate business needs into technical solutions that users love.
Work Experience
Nowy
Senior Software Engineer
Jul 2022 – Jul 2025
- Built React/TypeScript frontend with Redux state management for itinerary builder, reducing user booking steps by 40%.
- Developed Node.js/Express ERST APIs for travel inventory search, integrating with Amadeus/Sabre GDS systems.
- Created real-time collaborative features using WebSockets (Socket.io) for group trip planning, increasing session duration by 25%.
- Designed PostgreSQL schemas for user profiles, bookings, and preferences with 99.9% query uptime via connection pooling.
- Implemented client-side caching with React Query, reducing API calls by 60% and improving mobile app responsiveness.
- Built admin dashboard with Material-UI components for content moderation, handling 10K+ daily user submissions.
- Optimized frontend bundle size by 70% using code splitting and Next.js dynamic imports, improving Lighthouse scores to 95%.
- Created payment processing module integrating Stripe Elements with backend fraud detection, reducing chargebacks by 15%.
- Engineered Python FastAPI microservices for video processing (FFmpeg), extracting metadata from 10K+ daily TikTok/Instagram clips.
- Developed recommendation engine using collaborative filtering (Surprise library), increasing cross-sell revenue by 30%.
- Implemented real-time itinerary pricing with Redis-based rate caching, updating prices in <100ms during demand spikes.
- Built Go-based gRPC services for user authentication and session management, handling 50K+ concurrent users.
- Created data pipeline with Kafka and Spark for user behavior analytics, powering personalized travel suggestions.
- Containerized full-stack apps with Docker/Kubernetes, achieving 99.99% uptime during viral traffic events.
- Set up CI/CD pipelines (GitHub Actions) for automated testing/deployment, reducing release cycles from 2 weeks to 2 days.
- Implemented monitoring dashboards (Grafana) tracking frontend errors, API latency, and conversion funnels.
SearchLight
Senior Software Engineer
Jan 2019 – Jun 2022
- Built React-based assessment interface with drag-and-drop components, reducing candidate evaluation time by 50%.
- Created GraphQL API (Apollo Server) unifying candidate data from 5+ sources, improving data consistency by 90%.
- Developed candidate matching UI with D3.js visualizations, increasing recruiter adoption by 35%.
- Designed MongoDB schemas for unstructured candidate data with flexible indexing, supporting 100M+ records.
- Implemented real-time chat system (Twilio API) for recruiter-candidate communication, reducing time-to-hire by 20%.
- Built client reporting portal with exportable PDFs (Puppeteer), generating $1.1M in new annual revenue.
- Optimized mobile-responsive forms using React Hook Form, cutting form abandonment by 45%.
- Created role-based access control (RBAC) system with JWT tokens, supporting 50+ enterprise clients.
- Developed NLP bias detection models (spaCy/Scikit-learn) analyzing job descriptions, reducing gendered language by 43%.
- Built candidate scoring algorithm using XGBoost, improving match accuracy by 28% compared to manual screening.
- Engineered real-time feedback system with WebSocket notifications, updating candidate rankings in <200ms.
- Created ETL pipelines (Airflow) processing HRIS data from Workday/LinkedIn, handling 50K+ daily syncs.
- Implemented A/B testing framework for UI variations, increasing conversion rates by 15% through data-driven design.
- Migrated monolith to microservices (Node.js/Python), reducing deployment failures by 70% with canary releases.
- Set up automated testing with Jest/Cypress, achieving 85% test coverage and reducing production bugs by 60%.
- Configured cloud infrastructure (AWS) with auto-scaling groups, handling 3x traffic spikes during hiring seasons.
Druva Inc.
Software Engineer
Jun 2014 – Dec 2018
- Built Angular dashboard with real-time network topology visualization (D3.js), reducing threat detection time by 60%.
- Created RESTful APIs (Express.js) for device configuration management, supporting 10K+ network devices.
- Developed alert management system with React components, enabling custom rule creation for security teams.
- Designed TimescaleDB schemas for network telemetry data, optimizing queries for 1M+ events/sec ingestion.
- Implemented client-side data filtering with Web Workers, improving UI responsiveness for large datasets.
- Built compliance reporting module generating PDF/Excel exports, reducing audit preparation time by 70%.
- Created mobile-responsive UI for on-call engineers, enabling threat response from any device.
- Developed user onboarding flow with interactive tutorials, increasing new user activation by 40%.
- Engineered real-time anomaly detection using Python/Pandas, reducing false positives by 35% through ML models.
- Built network data collectors in Go, processing 1M+ NetFlow/sIPFIX events per second with <100ms latency.
- Created alert correlation engine using graph databases (Neo4j), identifying threat patterns across 100+ devices.
- Developed configuration backup system automating network device snapshots, reducing recovery time by 80%.
- Implemented role-based alert routing ensuring critical threats reached on-call engineers in <1 minute.
- Containerized services with Docker Swarm, achieving 99.95% uptime across 3 data centers.
- Set up log aggregation pipeline (ELK stack) processing 1TB+ daily logs for security forensics.
- Implemented infrastructure-as-code (Terraform) for multi-cloud deployments (AWS/GCP), reducing provisioning time by 90%.
Education
Bachelor of Science in Computer Science
University of California
Los Angeles, CA
Sep 2012 – May 2014
Graduated with 3.81 GPA and Dean's List for 4 semesters. Concentrations in software engineering, web development and full-stack development.
Associate of Science in Mathematics and Computer Science
Mt. San Jacinto College
San Jacinto, CA
Sep 2010 – Jun 2012
Completed transfer-focused STEM curriculum with emphasis on algorithms, discrete mathematics, and programming fundamentals.
Projects
Cross-Platform Game Engine Framework
Jun 2023 – Feb 2024Architected a modular engine in Go and Node.js that unified rendering, physics, and networking layers across three flagship titles, boosting code-reuse by 70 % and lowering regressions by 40 % while sustaining 60 + FPS on mobile and console.
Real-Time Matchmaking Microservices
Mar 2024 – Jun 2025Designed latency-aware matchmaking services with weighted-queue algorithms and Redis pub/sub, scaling to 10× concurrent players and delivering sub-50 ms pairing times during global live events.
Telemetry Analytics Pipeline
Jul 2024 – Jun 2025Implemented Kafka-backed event ingestion with Prometheus exporters and time-series dashboards, increasing analytics throughput 4× and cutting incident MTTR by 60 %.
Core Log-Routing Engine Redesign
Jun 2021 – Feb 2022Re-engineered the Go-based streaming core with lock-free data structures and back-pressure controls, tripling throughput and trimming CPU usage by 40 % on production clusters.
Real-Time Data Enrichment Service
Mar 2022 – Dec 2022Built a Redis-backed enrichment microservice that appended context to billions of log events per day with < 50 ms latency, enabling fine-grained routing and compliance filtering.
Data Replay & Log Reprocessing Platform
Jan 2023 – May 2023Delivered a Kafka-based replay engine with idempotent writes and schema-evolution support, achieving 99.9 % fidelity for backfilling analytics stores without downtime.
Cloud Snapshot Orchestration Platform
Jun 2019 – Apr 2020Designed a multi-cloud snapshot manager using DynamoDB and AWS Step Functions that cut backup windows by 50 % and handled petabyte-scale datasets with automated consistency checks.
Serverless Backup Ingestion Microservices
May 2020 – Jan 2021Implemented event-driven Lambda pipelines triggered by S3 and SNS that processed 10× more backups with cold-start latencies reduced to 300 ms, improving RPO targets company-wide.
Cost-Optimized Storage Tiering
Feb 2021 – May 2021Authored S3 lifecycle and intelligent-tiering policies with predictive access heuristics, saving 35 % in monthly storage spend while maintaining sub-second restore times for hot data.
AI Note Assist Clinical Documentation
Jan 2018 – Jun 2018Integrated TensorFlow-powered NLP service into EHR workflows, auto-populating 90 % of clinical notes and halving physician documentation time while maintaining HIPAA compliance.
HIPAA-Compliant Claims Data Pipeline
Jul 2018 – Feb 2019Built a Go microservice interfacing with clearing-house APIs to validate and submit $50 M+ monthly claims with 99.9 % accuracy, featuring retry orchestration and audit logging.
Kubernetes Migration of EHR Platform
Mar 2019 – May 2019Led migration of monolithic services to Kubernetes with Helm and ArgoCD, slashing deploy times from hours to minutes and enabling per-branch review apps for rapid QA.
Distributed ML Pipeline for Industrial Sensors
Jun 2014 – Oct 2015Created a Kubeflow-based training pipeline processing 50 TB/month of sensor data with automatic drift detection, reducing retraining effort by 80 % and boosting model accuracy by 15 %.
Shelf Recognition Computer Vision System
Nov 2015 – Jun 2016Developed ONNX-optimized YOLOv2 models deployed on NVIDIA Jetson devices, improving shelf-stock detection precision by 20 % and enabling real-time inventory analytics for retail clients.
PPML Secure Inference Framework
Jul 2016 – Dec 2016Implemented privacy-preserving ML workflows using Intel SGX enclaves and remote attestation, enabling confidential inference for finance and manufacturing partners under strict compliance regimes.