ABOUT_ME
Polyglot Software Engineer specializing in building distributed data platforms at scale. Currently architecting petabyte-scale systems at Nielsen using Apache Spark, Airflow, and Druid.
Professional journey includes impactful roles at Amazon (optimizing payment gateways for 30M+ daily transactions) and Rigi (building ML-based fraud detection serving 20K requests/sec).
Proven track record of delivering measurable business impact: 42% performance improvements, $7K monthly cost savings, and 99.9%+ uptime across production environments.
Expertise spans backend microservices, big data processing, cloud infrastructure, and full-stack development.
WORK_HISTORY
NIELSEN
FULL_TIME▸DISTRIBUTED_ETL_PIPELINE
Engineered distributed ETL pipelines processing 8TB+ daily data. Optimized broadcast joins and partition pruning, reducing runtime by 42% and saving 18 compute hours/day.
▸EVENT_DRIVEN_MICROSERVICES
Built event-driven microservices achieving 99.95% uptime with sub-250ms latency for real-time data ingestion handling 5TB+ across 8 production regions.
▸OLAP_QUERY_OPTIMIZATION
Optimized Druid OLAP queries by 2.8x through segment optimization, query vectorization, and result caching. Implemented Trino federated queries reducing cross-system latency by 35%.
▸CLOUD_COST_OPTIMIZATION
Reduced AWS costs by $7K/month through EC2 rightsizing, RDS optimization, S3 lifecycle policies, and Spot instance implementation.
▸WORKFLOW_ORCHESTRATION
Orchestrated 280+ Airflow DAGs with dynamic task mapping and autoscaling, achieving 99.7% success rate.
RIGI
INTERNSHIPAMAZON
INTERNSHIPSKILL_MATRIX
AI_ML_&_DATA_SCIENCE
Full-stack polyglot engineer with deep expertise across 57 technologies spanning modern software development.
AI/ML Specialist: Production experience with LangChain, RAG systems, LLM fine-tuning, and vector databases. Built fraud detection models and AI-powered applications.
Big Data Expert: Architected petabyte-scale data platforms using Apache Spark, Kafka, Airflow, Druid processing 8TB+ daily with 99.95% uptime.
Cloud-Native Developer: Extensive AWS, Docker, Kubernetes experience building event-driven microservices and serverless architectures.
Modern Frontend: Expert in React, Next.js 14, TypeScript with Server Components, SSR, and advanced state management.
PROJECT_ARCHIVE
Production-grade LangChain + FAISS + Ollama LLM system processing 5000+ page PDFs with 60x performance gain via intelligent caching. Integrated real-time web search and contextual Q&A capabilities.
Algorithmic framework leveraging quantum principles, Monte Carlo simulations, and probabilistic inference for multi-objective optimization in complex decision analysis scenarios.
Ensemble ML pipeline using XGBoost and Neural Networks achieving 96% AUC-ROC. Deployed on AWS Lambda with <50ms inference latency for real-time fraud detection at scale.
Full-stack SaaS with React, FastAPI, and Ollama LLM featuring real-time LaTeX compilation, AI-powered resume optimization, ATS scoring, and automated cover letter generation with <2s response time.
GET_IN_TOUCH
Currently open to new opportunities and interesting projects.
Feel free to reach out for collaborations or just to connect.
LET'S BUILD SOMETHING AMAZING
Whether you have a project in mind, want to discuss opportunities, or just want to connect— I'm always interested in hearing about new challenges and collaborations.