Available for new roles · Indianapolis, IN

Bioinformatics

Building end-to-end NGS pipelines that transform raw sequencing reads into actionable genomic insights. Python · AWS · PostgreSQL · GATK.

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WORKFLOW

The NGS Pipeline.

From raw sequencing reads to annotated variants — every step automated, validated, and reproducible at scale.

FASTQ

Raw reads

›

Quality Control

Phred scores

›

Alignment

BWA-MEM

›

BAM Process

Sort & index

›

Variant Calling

GATK

›

Annotation

Ensembl VEP

›

Report

JSON + HTML

CAPABILITIES

Built for Scale.

5+ years of production bioinformatics — from raw reads to clinical insights.

NGS Analysis

DNA-seq · RNA-seq · WGS · WES

FASTQBAMVCFVariant Calling

Python Engineering

OOP · Modular · Tested

Python 3.10PytestREST APIBash

Cloud & HPC

AWS · GCP · HPC Clusters

AWS S3EC2BatchGCP

Data Engineering

SQL · PostgreSQL · MySQL

PostgreSQLMySQLpsycopg2

Bioinformatics Tools

GATK · STAR · BWA · VEP

GATKSTARBWA-MEMVEP

Transcriptomics

RNA-seq · featureCounts · DESeq2

featureCountsTrimmomaticMultiQC

OPEN SOURCE

Four Projects.
Real Impact.

01 — NGS PIPELINE

End-to-End NGS Pipeline

Modular Python + Bash: FASTQ → BWA-MEM → GATK HaplotypeCaller → Ensembl VEP → PostgreSQL. Full test suite.

35% less manual intervention

30% faster variant retrieval

500+ datasets/year

PythonGATKBWAPostgreSQLAWS

View on GitHub →

02 — RNA-SEQ

Scalable RNA-seq Framework

Trimmomatic → STAR 2-pass → featureCounts → count matrix. Auto HTML QC reports. AWS Batch parallel processing.

28% faster turnaround

15 Pytest unit tests

Auto HTML QC report

STARfeatureCountsTrimmomaticAWS Batch

View on GitHub →

03 — DATA MGMT

Genomic Data Management

SQL-driven genomic data management system — 8-table PostgreSQL schema, Ensembl REST API batch annotation, priority-ranked variant HTML/JSON reports. 13 Pytest tests.

32% faster cohort retrieval
22% shorter report time
13 Pytest unit tests

PostgreSQLEnsembl APIREST APIPytest

View on GitHub →

04 — METABIOME

MetaBiome Platform — Full Stack Microbiome

Full-stack microbiome platform — shotgun metagenomic pipeline, FastAPI REST API, PostgreSQL longitudinal schema, React dashboard, AWS ECS/Batch deployment.

32% faster cohort retrieval

22% shorter report time

13 Pytest unit tests

PostgreSQLEnsembl APIREST APIPytest

View on GitHub →

CAREER

Work Experience.

CurrentMay 2025 — Present
Indianapolis, IN

Bioinformatics Analyst

Translation Commons

NGS pipelines (Python + Bash, AWS HPC) — reduced processing time 30% across 500+ datasets/year
Scalable RNA-seq workflows with automated Pytest QC — lowered reanalysis requests by 18%
Optimized PostgreSQL BAM/VCF tracking — increased variant retrieval speed by 35%

GraduateAug 2023 — May 2025
Indianapolis, IN

Graduate Research Assistant

Indiana University · Bioinformatics

DNA-seq and RNA-seq across 12+ concurrent academic studies using OOP Python workflows
Refactored Bash scripts to modular Python — reduced pipeline runtime by 30%
Transcriptome analysis scripts improving gene expression consistency by 22%

IndustryJun 2020 — Jul 2023
Remote

Bioinformatics Analyst

Cipla Ltd

Automated genomic reporting pipelines integrating SQL — improved efficiency by 28%
In silico PCR validation scripts — increased primer specificity screening by 26%
SQL data storage optimization — decreased cohort retrieval latency by 32%

CONNECT