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Vetted Scala Professionals
Pre-screened and vetted.
Mid-level Software Engineer specializing in backend systems, data pipelines, and GenAI automation
Mid-level Data Engineer specializing in cloud data pipelines and real-time streaming
Senior AI/ML Engineer specializing in healthcare AI, LLMs, and MLOps
Mid-Level Software Engineer specializing in full-stack and cloud microservices
Intern Software Engineer specializing in GenAI and backend systems
Mid-level Backend/Cloud Software Engineer specializing in AWS and distributed systems
Senior Data Scientist specializing in ML search, recommendations, and generative AI
Mid-level Backend/Distributed Systems Engineer specializing in cloud-native data pipelines
Junior Full-Stack Software Engineer specializing in ML, cloud infrastructure, and LLM agents
Mid-level Machine Learning Engineer specializing in NLP, LLMs, and MLOps
Mid-level Data Engineer specializing in cloud data pipelines and analytics platforms
Mid-level AI/ML Engineer specializing in recommender systems, NLP, and MLOps
Senior Full-Stack & AI/ML Engineer specializing in cloud-native platforms and LLM systems
Junior Business Intelligence Engineer specializing in experimentation and causal inference
VP Data Engineer specializing in AI-driven analytics platforms for investment management
Senior Data Engineer specializing in cloud data platforms and real-time pipelines
Mid-level Data Engineer specializing in cloud data platforms and streaming pipelines
Mid-level Data Engineer specializing in AI/ML data platforms and real-time streaming
Mid-level Data Engineer specializing in cloud lakehouse and streaming pipelines
Abhishikth Meesala
Mid-level AI/ML Engineer specializing in NLP, Generative AI, and fraud detection
“At PwC, built and productionized an agentic RAG enterprise search assistant over 6M internal documents (8M embeddings), deployed across AWS and GCP. Drove major retrieval gains (72%→92% precision via BM25+dense hybrid with RRF and cross-encoder re-ranking), reduced hallucinations 30%, achieved <2s latency at 50–60K queries/month, and cut support tickets 30%—boosting adoption to 2,500 users by adding source-cited answers.”
Hari Kiran Reddy Rommala
Mid-Level Full-Stack Software Engineer specializing in cloud-native data platforms
“LLM/agentic systems practitioner who specializes in moving customer prototypes into production within microservices environments, emphasizing reliability, latency, security, and measurable success metrics. Experienced in real-time troubleshooting using logs/traces and in enabling adoption through hands-on developer workshops (including live coding in Java Spring Boot) and pre-sales POCs that address technical objections and integration risk.”