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Vetted Hyperparameter Tuning Professionals
Pre-screened and vetted.
Mid-Level Full-Stack Software Engineer specializing in Java/Spring and AWS serverless
Senior AI/ML Engineer specializing in Generative AI, RAG, and multimodal LLM systems
Junior Computer Vision Engineer specializing in AI/ML and transformer-based vision models
Mid-level Machine Learning Engineer specializing in Generative AI and LLMOps
Mid-Level Full-Stack Software Engineer specializing in web analytics and cloud data pipelines
Junior Data & BI Analyst specializing in analytics engineering, NLP, and financial risk analytics
Junior Machine Learning Engineer specializing in scalable ML systems and LLMs
Senior Software Engineer specializing in AI/ML and cloud backend systems
Mid-level AI/ML Engineer specializing in risk modeling, healthcare analytics, and MLOps
Mid-level AI Engineer specializing in agentic LLM workflows and RAG systems
Balakrishna Mylapilli
Mid-level AIML Engineer specializing in production ML and MLOps
“ML practitioner who built a production customer risk scoring system to replace slow manual approvals, owning the full pipeline from feature engineering and XGBoost training to deploying a Dockerized FastAPI prediction service. Emphasizes reliability and business-aligned evaluation (recall/ROC-AUC, threshold tuning, drift monitoring) and is comfortable translating model decisions into stakeholder metrics like conversion rate (experience at EasyBee AI).”
Vaibhavi Madhav Deshpande
Mid-level AI Engineer specializing in LLM agents, RAG, and data pipelines
“Built and productionized LLM-powered workflows that generate contextual insights from structured financial data, including prompt/retrieval design, data standardization, and reliability controls like rate limiting and batching. Also diagnosed and fixed real-time failures in an automated order validation system using logs/metrics, staging reproduction, edge-case handling, retries, and alerting, while supporting sales/customer teams with demos, scripts, and FAQs to drive adoption.”
Amer Damaj
Junior Full-Stack Software Engineer specializing in cloud-native web apps and APIs
“Built a voice-driven desktop assistant for users with mobility impairments, integrating Whisper and Google Gemini and adding voice-authentication via speaker embeddings for secure command execution. Has hands-on experience with AWS serverless/microservices patterns (Lambda, S3, CloudFront, CloudWatch) and CI/CD, plus built an internal MySQL-to-MongoDB migration tool used by the CTO and dev team with an emphasis on safe, low-impact data transformation.”
Karthikeya Arra
Mid-level AI/ML Engineer specializing in Generative AI, LLMs, and MLOps
“Backend/ML engineering candidate focused on fintech automation who architected a zero-to-one agentic/LLM-enabled system to reconcile messy financial documents and bank transactions, reporting ~40% operational efficiency gains. Experienced migrating monoliths to event-driven microservices with incremental rollout via reverse proxy, and implementing production-grade security (OAuth2/JWT, RBAC, Supabase RLS) plus resilience patterns (timeouts/retries under concurrency).”
Mid-level Software Engineer specializing in cloud microservices and ML systems
Mid-level Data Scientist specializing in computer vision and behavioral analytics
Mid-Level Full-Stack Software Engineer specializing in healthcare web apps and LLM integrations
Junior Full-Stack Developer specializing in FinTech and backend APIs
Mid-level AI/ML Engineer specializing in LLM agents, RAG pipelines, and AI automation
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Entry-Level Machine Learning Researcher specializing in HPC telemetry modeling