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Vetted LSTM Professionals
Pre-screened and vetted.
Mid-level AI/ML Engineer specializing in NLP, LLMs, and MLOps
Mid-Level Software Engineer specializing in full-stack, data engineering, and ML
Senior Data Scientist specializing in ML, fraud risk, and Generative AI (RAG/LLMs)
Mid-level AI/ML Engineer specializing in GenAI, computer vision, and real-time ML pipelines
Senior Full-Stack AI/ML Engineer specializing in personalization, NLP, and GenAI platforms
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Mid-level AI/ML Engineer specializing in Generative AI and fraud detection
Senior Data Scientist specializing in healthcare analytics and scalable ML pipelines
Mid-level GenAI/ML Engineer specializing in LLMs, RAG, and agentic AI
Senior Software Engineer specializing in full-stack distributed systems and AI
Mid-level AI/ML Engineer specializing in conversational AI, NLP, and LLM-powered RAG systems
Senior Software Engineer specializing in robotics, ML, and full-stack web development
Mid-level AI/ML Developer specializing in FinTech fraud detection and GenAI assistants
Mid-level AI/ML Software Engineer specializing in Generative AI and NLP
Srijan Dokania
Junior Robotics & Machine Learning Engineer specializing in perception, SLAM, and edge AI
“Built and deployed an Azure-based, fine-tuned CLIP visual retrieval system at Staples for a ~300k-item product catalog, improving edge-case recall by 12% by engineering a custom delta-similarity/dynamic-margin loss. Also has robotics experience using ROS2 for sensor/compute orchestration, including GPS-time-synchronized sensor triggering for robot swarms and latency-bounded optical-flow benchmarking for edge deployment.”
Krishnapriyanka Ponnaganti
Mid-level AI/ML Engineer specializing in agentic AI and production ML systems
“ML/AI engineer with hands-on experience shipping production computer vision and GenAI systems, including a fabric defect detection platform that combined vision models with agentic LLM workflows to reach 89% human-inspector agreement at 200 ms latency. Also built a RAG-based code QA tool for developers and emphasizes production monitoring, evaluation, caching, and reusable Python service design.”
Bibhash Biswas
Executive technology leader specializing in AI/ML, SaaS, and cloud architecture
“Hands-on CTO and player-coach engineering leader from MindShow who led a 10-person team, transformed a services business into a licensable product sold to Fortune 500 customers, and stayed deep in architecture, AI, and UI work. Particularly notable for combining microservices/system design leadership with practical AI product delivery in speech and media workflows, including a phoneme-generation system the candidate says achieved 99.9%+ accuracy.”
Naga Gayatri Bandaru
Mid-level AI/ML Engineer specializing in MLOps and production ML systems
“Backend/ML engineer who has shipped high-scale real-time systems across e-commerce and healthcare: built a PharmEasy real-time recommendation engine for ~2M monthly users (cut feature latency 5 min→30 sec; +15% cross-sell) and architected a HIPAA-compliant multimodal clinical diagnostic workflow (DICOM+EHR) with XAI, MLOps (MLflow/Airflow/K8s), and drift/monitoring guardrails supporting 10k+ daily predictions.”