Samyak Meshram — Machine Learning Engineer

Machine Learning Engineer specialized in building production-grade Generative AI and end-to-end ML systems. I build scalable, resilient solutions that drive measurable business impact. My expertise lies at the intersection of Large Language Models (LLMs), MLOps, and Cloud Engineering, taking research from a notebook to high-availability production environments. WHAT I BUILD: • Generative AI & RAG Systems: Designed and deployed a real-time liability recommendation service using Gemini LLMs and Vector Search (RAG) on GCP, reducing manual review time by ~35%. • Production ML Infrastructure: Engineered fault-tolerant APIs using FastAPI and Kubernetes, sustaining 99.9% uptime with sub-200ms latency. • Scalable Pipelines: Built robust data workflows using Airflow, Snowflake, and Docker to streamline model delivery, cutting deployment times by 40%. Previously at Charlee.ai and as a Researcher at Pace University, I led initiatives in Computer Vision (StyleGAN/Stable Diffusion) and fraud detection, proving my ability to tackle complex, unstructured data challenges. TECHNICAL TOOLKIT: • GenAI/LLM: LangChain, LlamaIndex, RAG, Hugging Face, Prompt Engineering, Fine-Tuning. • MLOps: Docker, Kubernetes, CI/CD (GitHub Actions), Terraform, MLflow, Prometheus. • Core ML: PyTorch, TensorFlow, Scikit-learn, XGBoost, Computer Vision. • Data & Cloud: Python, SQL, GCP (BigQuery), AWS, Snowflake, Kafka. Work Authorization: Currently on STEM OPT; open to roles requiring future sponsorship.

Stackforce AI infers this person is a Machine Learning Engineer specializing in Generative AI and MLOps for the Tech industry.

Location: Jersey City, New Jersey, United States

Experience: 0 mo