I'm Suhas, a Full-Stack & DevOps Engineer from Northeastern University, passionate about crafting robust, scalable systems that power real-world applications.
From deploying GenAI applications with RAG to architecting Kubernetes-based distributed systems, I turn complex engineering challenges into elegant solutions. With expertise spanning cloud infrastructure (AWS, GCP, Azure), modern web technologies, and AI/ML pipelines.
- Engineering Enterprise Risk Management systems with GenAI integration
- Crafting Production-grade GenAI applications with Retrieval-Augmented Generation (RAG)
- Deploying Microservices and distributed systems on Kubernetes and cloud platforms
- Optimizing Performance and reliability through observability and automation
Ask me about: Python | TypeScript | React | AWS | Kubernetes | LLMs | Distributed Systems | Terraform | FastAPI | PostgreSQL
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Automated pull request review bot that leverages AI to analyze and provide suggestions on code changes
- Tech: Groq LLM, GitHub Actions
- Features: Automated code review, AI-powered suggestions, PR comments
- Deployment: GitHub Bot integration
Production-grade platform for evaluating, observing, and optimizing Generative AI pipelines (LLMs, RAG, Agents)
- Tech: Python, FastAPI, Vector DBs
- Features: AI pipeline evaluation, performance monitoring, optimization tools
AI-driven miner for art-technology intersections and cultural-technical patterns
- Tech: Python, Web Scraping, AI
- Features: Trend analysis, knowledge extraction, pattern recognition
SRE platform with ML-based anomaly detection and automated remediation
- Tech: Python, FastAPI, React, TypeScript, Docker Compose
- Architecture: Microservices, Prometheus, Grafana, Jaeger, Loki
- Features: Real-time anomaly detection, policy-driven auto-remediation, AI-powered RCA
Distributed storage system with erasure coding and multi-region replication
- Tech: Python, FastAPI, Reed-Solomon erasure coding
- Features: Node failure recovery, shard repair, metrics collection
- Performance: 1000+ objects processed with 100% success rate
Scalable infrastructure with Terraform, Kubernetes (AWS EKS), and CI/CD pipelines
- Tech: Terraform, Kubernetes, AWS EKS, CI/CD
- Features: Infrastructure as Code, microservices architecture
End-to-end real-time streaming analytics platform with Kafka, Spark, Trino, and Iceberg
- Tech: Kafka, Spark, Trino, Iceberg, Kubernetes
- Features: Real-time processing, data lake integration, K8s deployment
Automated job aggregator for entry-level software engineering positions with visa sponsorship
- Tech: Python, Playwright, React, Tailwind CSS
- Features: Smart filtering, visa sponsorship detection, GitHub Actions automation
Reliability testing framework for distributed query engines with fault injection
- Tech: Presto/Trino, ClickHouse, Spark, Kubernetes
- Features: Fault tolerance, chaos engineering, performance optimization
High-Performance C++ caching system with LRU eviction, custom memory allocator, multi-threaded TCP server
- Tech: C++, TCP networking, custom allocators
- Features: LRU eviction, multi-threading, performance optimization
Enterprise-grade risk management system
- Tech: Full-stack, Risk Analysis
- Features: Risk assessment, mitigation strategies
