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Vedang Jadhav
Mid-Level Software Engineer specializing in cloud-native microservices on AWS
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About
Backend engineer with experience across healthcare and fintech platforms (Anthem, Citia) building high-throughput Python microservices with strong compliance/security focus (HIPAA, tenant isolation). Has integrated ML workflows into production systems (ResNet embedding-based image similarity) using async pipelines (Celery/Redis) and AWS (Lambda/S3/ECS), delivering measurable performance and fraud/content-integrity improvements at scale.
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Key Strengths
- Built HIPAA-compliant claims automation & fraud-detection microservices handling 10M+ weekly records
- Improved API latency ~45% via async processing (Celery/Redis), caching, and DB tuning
- Reduced deployment errors ~60% by containerizing with Docker and adding CI with GitHub Actions
- Advanced PostgreSQL/SQLAlchemy performance optimization (EXPLAIN ANALYZE, indexing, connection pooling, batching, lazy loading)
- Designed secure multi-tenant architecture with PostgreSQL schema isolation and AWS network/IAM controls; enabled 40% faster tenant onboarding
- Integrated ML image-similarity pipeline (ResNet embeddings + cosine similarity) with async inference; reduced processing latency ~60% and cut duplicated content ~70%
- High-throughput observability and scaling using Prometheus metrics and autoscaled workers; handled 3x more concurrent requests
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