Hi, I’m Jaison Felix Menezes
Software Engineer
I build reliable backend systems, distributed data pipelines, and pragmatic ML features. I’ve shipped at Amazon,
ICICI Lombard, CloudFront, and CSULB. Currently completing my MS in Information Systems at CSULB (May 2026).
Open to Software Engineer roles in backend/distributed systems and data/ML platforms.
Experience
Software Engineer, Co-op · Ancestry · Lehi, UT
Feb 2026 – Present · Python · OpenTelemetry · Model Context Protocol (MCP) · LangChain · Claude API · AWS · CloudWatch
- Developing AI-powered migration tools using LangGraph and Claude API.
- Building agentic Python AST parsing engines using Model Context Protocol (MCP) to migrate New Relic and Datadog APM instrumentation to OpenTelemetry with automated validation and rollback safety.
- Implemented real-time PII detection and redaction pipelines using AWS Lambda and CloudWatch Logs to scan and sanitize multi-source log streams for compliance.
Business Intelligence Engineer, Intern · Amazon · Bellevue, WA
May 2025 – Aug 2025 · SQL · Spark · Redshift · Kinesis · Lambda/Glue · Airflow
- Built a labor-optimization service that disaggregates shift schedules into hourly load forecasts — improved granularity and reduced overstaffing by 14% at a pilot site in 6 weeks.
- Implemented real-time event processing (Kinesis → Lambda/Glue → Redshift) with durable storage & query APIs; refreshed 7 KPIs in 8–12 minutes end-to-end vs. 2–3 hours baseline.
- Productionized A/B evaluation for a First-Mile pre-bagging pilot; ETL (Redshift SQL, Airflow) for touch count/mis-sorts/truck fill rate contributed to ~8% fewer touches.
Research Assistant · CSULB Research · Long Beach, CA (Part‑time)
Jan 2025 – Feb 2026 · Python/Flask · Java/Kotlin · Apache Spark (Scala) · Iceberg/Delta
- Shipped a WCAG 2.2 AA compliant, parent‑facing Flask app with ARIA attributes and automated accessibility checks.
- Refactored Java microservices (auth, payments) for distributed deployment; +JUnit/Mockito tests cut bug resolution time by 25%.
- Architected ingestion (Databricks Workflows + Spark) moving 20+ GB/day of Census/IRS/USPS data into Iceberg ACID tables; later migrated to Delta for compaction efficiency.
- Tuned a Kotlin Android app with live class schedules & charts (MPAndroidChart), adopted by 1,000+ users.
Software Engineer — Data & ML Infrastructure · ICICI Lombard · Mumbai, India
Jan 2023 – Aug 2024 · PySpark · Databricks · Azure · Cosmos DB · Redis · APIM
- Engineered batch + streaming services landing in ADLS Gen2/Delta across 5+ sources (~1.2M records/month); 99.9% successful runs, DLQ <0.1%.
- Real‑time telematics via Event Hubs (Kafka API) → Cosmos DB; sustained 1.2–1.5K msgs/s, p95 read ~5 ms, p99 write ~30 ms.
- Fraud‑scoring REST APIs (RF/XGBoost/LogReg) on Azure Functions behind APIM (rate limits, OAuth2/JWT); manual claim review time −40%.
- Distributed caching (Redis + Bloom filters) across 15+ microservices; DB load −60%, API p95 from 250 ms → 70 ms.
- Provisioned infra with Terraform; Jenkins caching cut CI/CD times by 40%.
Software Engineer · CloudFront Technologies (DataFronts) · Jersey City, NJ (Remote)
Aug 2020 – Jan 2023 · Java (Spring Boot) · Azure App Service · RabbitMQ · Azure DevOps
- Built event‑driven microservices integrating CRM (Salesforce/Dynamics) & ERP (SAP/NAV/F&O); zero‑downtime releases via staged slots.
- Personalization graph in Neo4j + Redis cache → sub‑100 ms recommendations; monitored with Azure Log Analytics.
- Nightly ERP→CRM sync on AKS (Docker, K8s, Helm): 2M+ rows/run, success 85%→99.5%, runtime −40%.
- Implemented API Gateway controls (APIM rate limiting + throttling) and secure auth (OAuth2, TLS); served 2,000+ active users.
- DRI for production data services; led on‑call rotations, incident triage, and SLA restoration.
Selected Projects
FinReport AI
Python · RAG · Hugging Face · PostgreSQL · Docker
- NLP analytics on SEC filings using BERT/GPT with retrieval-augmented generation.
- Containerized API with dynamic model routing and prompt tuning.
View on GitHub
Yahoo Finance MCP Server
Python · MCP · yfinance · Claude API
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Built a custom Model Context Protocol (MCP) server that integrates
Claude Desktop with live Yahoo Finance market data.
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Exposed production-ready tools including
real-time stock price retrieval,
historical CSV export, and
multi-stock comparison.
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Designed structured tool interfaces over
stdin/stdout MCP transport enabling Claude to
programmatically query financial data.
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Packaged using modern Python tooling (uv, pyproject.toml),
with modular server architecture for maintainability.
View on GitHub
GitHub MCP Server – Intelligent Repository Automation via Claude
Python · MCP · PyGithub · uv · REST API · Automation · Claude Desktop
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Built a custom Model Context Protocol (MCP) server that integrates
Claude Desktop directly with the GitHub API for intelligent
repository interaction and automation.
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Implemented secure GitHub authentication using Personal Access Tokens
loaded via environment variables with python-dotenv.
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Developed tools to fetch user bios, repository file structures (recursive),
and raw file contents dynamically from any GitHub repository.
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Enabled automated branch creation, pull request generation, and issue creation
using the PyGithub SDK with structured error handling.
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Configured production-ready local execution using uv project environments
to ensure dependency isolation and seamless integration with Claude Desktop.
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Designed the system to support scalable repository analysis, automation workflows,
and AI-assisted codebase exploration.
View on GitHub
MovieHub
React · Node.js · MongoDB · Redis · Docker
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Implemented an ML-based movie recommender using cosine similarity on genre, keywords, and metadata vectors.
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Integrated a Gemini-powered AI assistant for contextual movie insights, containerized backend services with Docker,
and deployed a scalable architecture (Vercel frontend, Render backend, MongoDB Atlas) with production-ready routing,
security, and performance tuning.
GitHub Repo
Live Demo
Azure Real-Time Weather Analytics & Alerting System
Azure · Databricks · Functions · Event Hub · Microsoft Fabric · KQL · Power BI
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Built an end-to-end real-time weather data pipeline that continuously ingests,
streams, and analyzes weather data from a public Weather API.
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Implemented scheduled ingestion using Azure Functions and
streaming pipelines with Azure Databricks into
Azure Event Hub.
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Processed streaming events in Microsoft Fabric Event Stream
and stored them in KQL (Kusto) DB for real-time querying.
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Designed a live Power BI dashboard delivering continuously
updated analytics and alerting insights.
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Secured secrets and access using Azure Key Vault and
Managed Identity with role-based access control (RBAC).
View on GitHub
Skills
Languages
PythonJava 17ScalaTypeScriptSQLC/C++C#Shell
Data & Storage
PostgreSQLMySQLMongoDBNeo4jSnowflakeBigQueryS3RedshiftHBase/HiveRedis
Pipelines & Orchestration
AirflowKafkaAzure Data FactoryAzure FunctionsdbtEMRTrinoFlinkIceberg/Delta
Machine Learning
PyTorchTensorFlowKerasscikit‑learnGradient BoostingLangChainHugging FaceOpenCV
Cloud & Infra / Security
AzureAWSLinuxAPI Mgmt (APIM)REST/gRPCFront Door (WAF/CDN)App GatewayVNetKey VaultOAuth2/JWT
CI/CD & Quality
GitHubTerraformJenkinsAzure DevOpsMLflowSonarQubeCheckmarxOWASP ZAPPostman
Education
California State University, Long Beach
Master of Science — Information Systems · Aug 2024 – May 2026 (Expected)
Coursework: Software Engineering, Machine Learning, Cloud Computing & Distributed Systems, Networks & Security, Big Data Systems.
University of Mumbai
Bachelor of Engineering — Computer Engineering · Aug 2016 – Oct 2020
Coursework: DS&A, OOP (C++/Java), OS, System Design, Compiler Design, Embedded Systems.
Leadership & Community
Llama Hackathon & Meta — Participant (2025)
Built WikiFace, a DeepWiki‑inspired platform using Llama‑3 long‑context + chatbot UI to extract and centralize model insights; fine‑tuned on AWS p5s to reduce hallucinations; praised by peers & judges.
Hackniche 2.0 — Judge (Google DSC, 2024)
Evaluated projects from 1,300+ participants (teams of four) on scalability, creativity, and technical execution.