Aditya Pal is an SDE II and ML-focused software engineer with a decade of experience building scalable platform and ML systems across fintech, biotech, and cloud-native teams. He combines production-grade engineering (Kafka, AWS, Terraform, Java/Spring) with hands-on ML expertise—LLMs, RAG, PEFT/LoRA fine-tuning, vector DBs and XGBoost anomaly/fraud models—having driven ML-to-production workflows and CI/CD MLOps at Goldman Sachs and Moderna. A Georgia Tech MSCS candidate and published NLP researcher, he has built adversarial LLMs for smart contract vulnerability detection and led a RAG chatbot and RLHF proof-of-concept that achieved 95% user satisfaction. Based in Seattle, he’s equally comfortable optimizing distributed systems (cross-region Kafka replication, API gateway autoscaling) and experimenting with cutting-edge ML tooling like Sagemaker and Vertex AI, reflecting a rare blend of deep systems engineering and applied research.
10 years of coding experience
5 years of employment as a software developer
Master of Science - MS, Computer Science, 3.90, Master of Science - MS, Computer Science, 3.90 at Georgia Institute of Technology
Bachelor of Engineering (B.E.), Computer Science and Engineering, Cumulative GPA : 8.36, Bachelor of Engineering (B.E.), Computer Science and Engineering, Cumulative GPA : 8.36 at Birla Institute of Technology, Mesra
Contributions:6 reviews, 7480 commits, 14 PRs in 2 years 6 months
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