Available for SDE II / React Developer roles
Mounish Pedagandham
Building resilient systems
& refined interfaces.
Full Stack Engineer with 4.5+ years shipping production React apps, Python/FastAPI backends, and cloud infrastructure on AWS. Currently at Hexplora, Hartford CT.
I'm a full stack software engineer with 4.5+ years of experience building production systems - clinical data pipelines, predictive ML models, and React web applications — often as the sole engineer on a project, owning it end to end.
Currently at Hexplora in Rocky Hill, CT. I've built a FHIR CQL execution platform from scratch, an eCQM pipeline for CMS quality reporting, a Readmission Risk prediction model, and a CKD→ESRD progression model (0.85 AUC) - all independently on production claims and FHIR data. I'm also contributing to a React migration replacing a legacy .NET platform for 100K+ ACO member records.
⚡ Experience
Software Engineer
Jul 2025 – Present- Built FHIR CQL execution platform from scratch — Python FastAPI backend, React frontend, SQL persistence layer, and RabbitMQ async engine — enabling authoring and execution of CMS clinical quality measures for ACO clients
- Built eCQM pipeline from scratch — ingesting QRDA-I XML clinical events, processing through a SQL-based execution engine, cross-validating CQL results for CMS regulatory reporting
- Built Readmission Risk prediction model independently — cohort building from claims data, feature engineering, model training (XGBoost, Random Forest, Logistic Regression), K-fold validation, SHAP explainability
- Built CKD Stage 3 → ESRD progression model on claims data — 0.85 AUC, 0.47 F1, with SHAP analysis for individual patient-level clinical interpretation
- Contributing to migration of legacy .NET + Power BI platform to React — building data visualization components with Recharts and Chart.js for ACO member analytics
- Designed and automated EDI 270 eligibility workflows for Availity and MassHealth; built SSIS-based XML pipelines for multi-system healthcare data interoperability
Graduate Research Assistant
Sep 2024 – May 2025- Built a configuration-driven AI experimentation platform (YAML/JSON) enabling one-command ML workflow execution — data ingestion, model training, evaluation, metric logging — reducing researcher setup time by 70%
- Engineered ADNI Brain MRI preprocessing pipeline transforming raw NIFTI scans into standardized 3D volumes; trained ensemble CNN models (ResNet50, DenseNet121) achieving 98.89% Alzheimer's detection accuracy — matching SOTA benchmarks
- Designed agent-like task orchestration tooling with parameterized runs, centralized tracking, and reproducibility guarantees across local and cloud environments
Software Engineer
Nov 2022 – Dec 2023- Designed and delivered a production-grade React customer onboarding platform — multi-step wizard UI with dynamic form validation, client-side state management, and deep Java Spring Boot REST API integration
- Reduced manual processing time by 30% and saved an estimated $150K annually in operational costs
- Built reusable React component libraries for form controls, data tables, and status dashboards with responsive, cross-browser layouts
- Secured platform with OAuth2 authentication, JWT session management, and role-based access control; deployed CI/CD pipelines with Jenkins and Docker enabling zero-downtime daily releases
Software Development Engineer
Oct 2020 – Nov 2022- Contributed to Edison AI Workbench — a large-scale AWS-hosted (ECS, EKS, Lambda, SageMaker) cloud platform for medical AI model development serving global healthcare customers
- Built 6 new Flask microservice APIs for automated antivirus scanning of medical datasets on AWS S3 via Lambda; led migration to new IDAM authentication workflow, halving unauthorized access incidents
- Resolved 25+ critical production defects across 12+ repositories within 4 months, delivering $40K+ in estimated cost savings
- Overhauled MRI system software by refactoring 2,000+ lines of Java and Bash — added USB support and selective save/restore logic, cutting update time from 90 to under 30 minutes (67% reduction)
🎓 Education
MS in Computer Science (AI/ML)
University at Buffalo (SUNY)
Jan 2024 – May 2025 · GPA 3.93
Specialization in AI/ML — deep learning, distributed systems, computer vision, machine learning algorithms. Graduate Research Assistant.
B.Tech in Computer Science & Engineering
National Institute of Technology, Raipur
Aug 2016 – May 2020 · CGPA 9.21
Honours graduate. Core CS: algorithms, data structures, distributed systems, databases, operating systems, computer networks.
⚡ Core Stack
- Python / FastAPI / Flask
- Java / Spring Boot
- TypeScript / React
- Docker / K8s
- PostgreSQL / Redis
- AWS / Azure
◇ Projects
Horizon Banking
LiveFull-stack consumer banking platform with live bank account aggregation, real-time transaction feeds, and peer-to-peer transfers.
TinyLS - URL Shortener
LiveFull-stack URL shortener built for scale — custom slugs, click analytics, QR code export, and a production React frontend.
Carnitis
In ProgressA Next.js based vehicle expense manager with AI-assisted categorization, service history tracking, and cost analytics.
Personal Blog
LiveHigh-performance technical blog on React, distributed systems, and software engineering — live at blog.mounish.dev.
≡ Skills
Frontend
Backend
Data Engineering
AI / ML
Cloud & Infrastructure
Auth & Security
Let's build something together
I'm actively looking for Software Engineer II, React Developer, and Data Engineer roles. If you're building something interesting, I'd love to hear about it.