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Vetted LSTM Professionals
Pre-screened and vetted.
Akhilesh Padala
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and Computer Vision
“ML/AI engineer with strong end-to-end production ownership across predictive ML and Generative AI use cases. They built a churn prediction platform that cut churn 12% and preserved about $1.2M in annual revenue, and also shipped a RAG-based support assistant that reduced ticket resolution time 30% while improving agent satisfaction and onboarding speed.”
Abhirup Chakraborty
Junior Software Engineer specializing in backend systems, AI, and search
“Built a complex graph-based search engine to find connections between people and has hands-on experience designing multi-agent coding pipelines that move features through implementation, test generation, testing, and sanity checks. Stands out for treating AI agents like an engineering team, with shared-memory coordination, queue signaling, and completeness-focused guardrails to improve reliability and reduce ambiguity.”
Bhavneet Kaur
Junior Software Engineer specializing in backend systems and AI/ML
“Backend-leaning full-stack engineer with Amazon production experience on book and author search suggestions, plus hands-on work integrating AI agents with Node.js, Bedrock, and OpenAI Assistants. Also built internal admin tools for safety training, OSHA compliance, and digital badge workflows, showing strength in turning ambiguous operational problems into practical shipped products.”
Rajeshwar Ragupatula
Director-level AI Architect/Manager specializing in GenAI, MLOps, and enterprise automation
“GenAI/ML engineering leader (player-coach) who built and deployed an image-to-text production system for topology/resource diagrams, combining YOLO-based issue detection with an LLM to generate support-ready reports at scale. Heavy AWS stack (SageMaker, Step Functions, Lambda, CloudWatch, FastAPI, Kubernetes/Docker) with KPI-driven optimization (MTTR, P50), including ~21 custom labels and reported 30–50% faster issue identification while processing thousands of images in production.”
Mid-level AI/ML Engineer specializing in NLP/LLMs and real-time data pipelines
Senior Software Engineer specializing in machine learning and backend microservices
Mid-level Data Scientist specializing in GenAI, RAG pipelines, and semantic search
Mid-level AI/ML Engineer specializing in financial risk, fraud detection, and GenAI
Staff AI Engineer specializing in geospatial and remote sensing machine learning
Mid-level Data Scientist specializing in financial risk, fraud detection, and GenAI NLP
Mid-level Data Scientist specializing in NLP, GenAI, and time-series modeling
Intern Software Engineer specializing in backend systems and AI search
Senior Data & AI/ML Engineer specializing in LLM/NLP platforms and cloud data engineering
Mid-level AI/ML Engineer specializing in recommender systems, MLOps, and Generative AI
Mid-level AI/ML Engineer specializing in financial crime detection and retail analytics
Mid-level AI/ML Engineer specializing in LLM agentic systems and MLOps
Mid-level AI/ML Engineer specializing in NLP, MLOps, and fraud detection
Mid-level AI/ML Engineer specializing in MLOps, NLP, and predictive modeling
Mid-level Machine Learning Engineer specializing in NLP, recommender systems, and MLOps
Mid-level AI/ML Engineer specializing in quantitative finance and LLM-based NLP