Uday A.

I’m a Senior Software Engineer with 7+ years of experience building high-performance backend systems, working across Golang, Python, Java, and cloud-native platforms like AWS, including EC2, S3, RDS, ECR, Opensearch, DocumentDB, and Route53. I’ve delivered scalable, reliable infrastructure and AI-powered applications using LLMs such as GPT-3.5, GPT-4, GPT-4o, and GPT-4o-mini, along with vector databases like Qdrant and pgvector. My work spans intelligent systems, from personalized recommendations to GenAI-powered automation, all focused on simplifying complexity, saving time, and delivering real business value. I'm comfortable navigating ambiguity, picking up new tech fast, and building production-ready systems in weeks. I’ve worked with distributed teams, collaborated across time zones, and shipped outcomes through tight feedback loops. On the infrastructure side, I’ve worked with Docker, Kubernetes, Terraform, and monitoring tools like Prometheus, Grafana, and Datadog, designing systems built for observability, reliability, and scale. I thrive at the intersection of backend architecture, AI integration, and lean, pragmatic engineering, always balancing simplicity with scalability. Major accomplishments: ✅ Redesigned the core job search system at Ladders — the most critical part of the platform — using Golang, PostgreSQL, and pgvector. Delivered 90% of the legacy functionality in just 3 months while improving average response times by 34% and reducing peak latency by 90%. ✅ Replaced a legacy recommendation engine with a new Python + Qdrant system, boosting positive feedback by 70%, reducing negative feedback by 40%, and cutting infrastructure costs by 65%. ✅ Shipped an AI-powered autofill tool that extracts structured work history from resumes using GPT-3.5, deployed via a staff-facing Chrome extension. Saved $25K+ in API costs and eliminated 20+ hours of manual work per week for internal staff. Skills: Languages: Python, Go, Java, JavaScript, TypeScript, ClojureScript, Clojure Technologies and Tools: AWS (EC2, S3, RDS, ECR, Cloudfront, Opensearch, DocumentDB, Route53), PostgreSQL, pgvector, MariaDB, Qdrant, Redshift, Docker, K8s, Terraform, Pulumi, Kafka, Prometheus, Grafana, Datadog, Flask, Spring , React, Google Analytics, Google Search Console