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Vetted Recurrent Neural Networks (RNN) Professionals
Pre-screened and vetted.
Srikar Tharala
Mid-level AI/ML Engineer specializing in Generative AI and RAG systems
“Currently at ProShare and reports building an AI/LLM-powered system deployed to production, aimed at helping with status-related difficulties and reducing misunderstandings across transactions. Also cites prior collaboration at Porsche with marketing teams, focusing on translating marketing goals into technical requirements and communicating solutions clearly to non-technical stakeholders.”
Nischit Patel
Mid-level Software Development Engineer specializing in Python, APIs, and AWS
“Backend engineer with experience modernizing legacy systems and building modular Python/Flask services, including a REST-to-GraphQL migration for an e-commerce platform that improved API response time by 45%. Strong in performance and scalability work across PostgreSQL/SQLAlchemy (indexing, JSONB, N+1 fixes, connection pooling) and high-throughput systems (Celery + Redis), plus integrating ML microservices with TorchServe, Kafka streaming, feature stores, and Prometheus/Grafana monitoring.”
sandeep Barige
Intern AI/ML Software Engineer specializing in LLMs, NLP, and multimodal systems
“Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.”
Junior AI/ML Engineer specializing in deep learning and cloud deployment
Senior AI Engineer & Data Scientist specializing in LLM agents and forecasting
Senior Full-Stack Software Engineer specializing in Python, Django, React, and AI/ML
Mid-level AI/ML Developer specializing in MLOps and healthcare predictive modeling
Mid-level Machine Learning & GenAI Engineer specializing in RAG and multimodal AI systems
Senior Machine Learning & AI Engineer specializing in Generative AI and MLOps
Mid-level AI/ML Engineer specializing in generative AI, NLP, and MLOps
Mid-level Data Scientist specializing in deep learning, NLP, and time-series forecasting
Senior AI/ML Engineer specializing in NLP, computer vision, and cloud ML systems
Director-level Applied ML Engineer specializing in GenAI, LLM systems, and MLOps
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps