DOMAIN_01
Data Platforms
Streaming, warehousing, and lakehouse foundations
- BigQuery
- Redshift
- Postgres
- Kafka
- Spark
- Airflow
- Apache Iceberg
// data · ml · inference
····· ···
>data & ai engineer·Hello · english
I turn messy data into systems you can bet on.
Pipelines, analytics, and agentic workflows — instrumented end to end for teams that need speed without gambling on correctness.
$execPipelines you can replay and audit
PEAK_THROUGHPUT
20M/day
ELMS events → BigQuery
LATENCY_REDUCED
750ms
platform API p50
ONBOARDING_CUT
90%
source intake cycle
INGEST_RUNTIME
6h→45m
119-table CDC + validation
// capabilities.grid
:: CORE_CAPABILITIES
Three domains where I build production systems — each backed by the patterns sketched below.
DOMAIN_02
AI Engineering
RAG workflows, retrieval systems, and model ops
- LangChain
- RAG
- Vector Search
- Elasticsearch
- Prompt Engineering
- Evaluation Pipelines
DOMAIN_03
Platform Reliability
Infrastructure, deployment, and observability
- Docker
- Kubernetes
- Terraform
- CI/CD
- Data Observability
- Security Controls
// skills.matrix
:: TECHNICAL_DEPTH
Primitives I reach for when wiring pipelines, hardening platforms, and shipping retrieval-heavy AI.
// core_stack
- Python
- SQL
- Rust
- FastAPI
- Spark
- Airflow
- Kafka
- BigQuery
- Postgres
- Elasticsearch
- Docker
- Kubernetes
- Terraform
- LangChain
- RAG
// methods.matrix
- Data Structures & Algorithms
- Distributed Systems
- MLOps
- CI/CD Pipelines
- GitOps
- REST APIs
- Backend Development
- Server Side Programming
// experience.log
:: A track record of shipping under scale
From vendor floors to research labs — same through-line: make the data path observable before you optimize it.
- ROLE_00 · Charlotte, NCOct 2025 – Present
Data Engineer
Wells Fargo · via Capgemini America Inc.
- GCPground→cloud POC
- ICEBERGlakehouse curation
GCPAirflowDataflowPub/SubApache Iceberg - ROLE_01 · College Park, MDSep 2023 – May 2025
Data Specialist
University of Maryland
- 20M/dayELMS events → BQ
- 6h→45m119-table CDC
- 5d→2dsurvey RAG review
BigQueryPub/SubDataflowLangChainElasticsearchPython - ROLE_02 · Chennai, IndiaJul 2021 – Jul 2023
Senior Software Engineer — Data Platform
Tiger Analytics
- 6enterprise clients
- 90%onboarding cycle cut
- 750msAPI latency reduced
AWSSparkAirflowFastAPIKubernetesDataHub - ROLE_03 · Chandigarh, IndiaJan 2019 – Nov 2019
Intern & Software Engineer
Xenonstack Pvt. Limited
- 10GB/day45 IoT sites
- 15minforecast freshness
- 33%MLOps iteration ↑
DatabricksSparkKafkaDelta LakeMLflow
// ls /work
:: SHIPPED_PROJECTS
Public slice of builds — same patterns recur under NDA elsewhere: ingestion, quality gates, and shipping with receipts.
~/data-fusion
Data Engineering
20M+ daily events
01 · BigQuery Analytics Fabric
Streaming-first data platform design for large-scale analytics with governance and observability.
Google CloudDataflowBigQueryPythonPub/Sub
sourceopen
~/semantic-search
AI Systems
100K+ docs processed
02 · Intelligent Record Management
RAG-powered document intelligence stack for semantic retrieval and decision support.
PythonNLPElasticsearchFastAPILangChain
sourceopen
~/loan-prediction
Machine Learning
Faster underwriting decisions
03 · Loan Default Prediction
End-to-end ML workflow for risk prediction with explainable features and reproducible training.
PythonScikit-learnPandasMLflow
sourceopen
~/fintech-analytics
Data Engineering
Reliable recurring analytics
04 · Fintech Data Prep Engine
Batch and incremental ETL framework for financial metrics and operations reporting.
Apache SparkAWSPythonAirflow
sourceopen
~/eks-monitoring
Platform
Operational visibility
05 · EKS Monitoring Stack
Kubernetes observability system with metrics, dashboards, and alert policy automation.
KubernetesPrometheusGrafanaAWS
sourceopen
~/sports-analytics
Machine Learning
Predictive insights
06 · Sports Analytics Lab
Exploratory analytics environment for performance prediction and model experimentation.
PythonPandasTableauStatistics
sourceopen
FEATURED_PROJECTCOMING_SOON
PulseQL
AI-driven data exploration · upcoming
- >Automated profiling on connect — distributions, nulls, drift in seconds
- >Query intelligence layer translates intent into safe SQL with diff previews
- >Embeddable schema-aware copilot for analyst loops
RustReactTypeScriptTauriDuckDB
// mode/offline
OFFLINE_MODE // ANALOG
Street, landscape, and frames in between. Hover for capture metadata.
Olympus EM 10
35mm · f/1.8 · iso400
Olympus EM 10
50mm · f/2.0 · iso200
Olympus EM 10
24mm · f/4.0 · iso800
Olympus EM 10
85mm · f/1.8 · iso100
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/1.4 · iso200
Olympus EM 10
28mm · f/4.0 · iso100
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/2.0 · iso200
Olympus EM 10
24mm · f/8.0 · iso100
Olympus EM 10
85mm · f/1.8 · iso800
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/1.8 · iso200
Olympus EM 10
35mm · f/1.8 · iso400
Olympus EM 10
50mm · f/2.0 · iso200
Olympus EM 10
24mm · f/4.0 · iso800
Olympus EM 10
85mm · f/1.8 · iso100
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/1.4 · iso200
Olympus EM 10
28mm · f/4.0 · iso100
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/2.0 · iso200
Olympus EM 10
24mm · f/8.0 · iso100
Olympus EM 10
85mm · f/1.8 · iso800
Olympus EM 10
35mm · f/2.8 · iso400
Olympus EM 10
50mm · f/1.8 · iso200
// tty/connect
LET'S SHIP SOMETHING DEFENSIBLE
Open to consulting, full-time roles, and tight collaborations on data platforms and AI systems — async-first, with clear milestones and measurable exits.
STATUS: ONLINE · ACCEPTING_NEW_PROJECTS