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Vetted Scala Professionals
Pre-screened and vetted.
Mid-level Data Engineer specializing in Azure data platforms and near real-time pipelines
Senior AI/ML Engineer specializing in computer vision, GenAI, and 3D spatial analytics
Senior Machine Learning Engineer specializing in AI, NLP, computer vision, and GenAI
Mid-level Data Engineer specializing in healthcare analytics and AI pipelines
Senior Backend Engineer specializing in Java microservices and distributed systems
Senior Java Full-Stack Developer specializing in cloud-native microservices and FinTech
Mid-level Backend Software Engineer specializing in data platforms and reporting
Mid-level Data Engineer specializing in financial data engineering and scalable pipelines
Mounika Nadendla
Senior Data Engineer specializing in cloud data platforms and real-time streaming
“Data engineer focused on building reliable, production-grade data systems end-to-end: batch and real-time pipelines (Airflow/Kafka/Spark) with strong data quality, monitoring/alerting, and incident response. Has experience integrating external API/web data with retries, throttling, and schema-change handling, and serving curated datasets to analytics (Power BI) and backend consumers with performance optimizations like Redis caching.”
Fatema Tuzzohra
Senior Full-Stack Java Developer specializing in banking and healthcare platforms
“Enterprise-focused full-stack/backend engineer with hands-on experience shipping a production LLM-powered document analysis platform for internal operations teams. They combine cloud-native microservices expertise across AWS/Azure with practical agent-system design, including async orchestration, model routing, observability, and safeguards for hallucinations, failures, and human-review fallbacks.”
Pranit Chetta
Senior Full-Stack Java Engineer specializing in cloud-native AI and enterprise platforms
“Full-stack product engineer who owned a live-events digital ticketing platform end-to-end, including blockchain-based ticket validation and high-traffic booking flows. Stands out for combining Angular/React frontend work with Java/Spring Boot backend architecture, plus strong production reliability practices around concurrency control, queues, observability, and UX optimization.”
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Data Engineer specializing in multi-cloud data platforms and generative AI
Mid-level Data Scientist specializing in financial ML, NLP, and MLOps
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.”
Anurag Reddy
Mid-level Data Scientist specializing in ML, MLOps, and Generative AI
“ML/NLP engineer who built a RAG-based technical assistant for Caterpillar field engineers, transforming PDF keyword search into intent-based semantic retrieval across manuals, logs, sensor reports, and technician notes. Strong in productionizing data/ML systems (Airflow, PySpark) with rigorous preprocessing, entity resolution, and evaluation—delivering measurable gains in accuracy, relevance, and duplicate reduction.”