.png){kind=logo}
Vetted SQLite Professionals
Pre-screened and vetted.
Alex Manni
Senior Agile/Product Delivery Leader specializing in enterprise transformation, data and cybersecurity
“Built a web-based online Sudoku game in JavaScript (multiplayer format supporting up to 6 teams with up to 5 players each) and demonstrates strong product/analytics orientation. Uses a KPI-driven approach (DAU/WAU, ARPU, session duration, LTV) and structured prioritization methods (MoSCoW, story mapping, cost of delay, DFV) to iterate toward targets; seeking a remote role around $70k/year.”
Ganesh Medepalli
Mid-level Java Developer specializing in Spring Boot microservices and AWS
“Backend engineer with primary experience in Java/Spring Boot microservices, AWS (EC2/ECS/Lambda), and CI/CD automation with Jenkins. Supported modernization/migration efforts at Berkshire Hathaway and Citius Infotech by containerizing legacy components with Docker, refactoring services to be stateless, and managing infra changes via Terraform and Git-based workflows; has limited but practical Python API prototyping experience (Flask/FastAPI) and solid conceptual grounding in Kubernetes and Kafka.”
Prateek Pravanjan
Junior Machine Learning Engineer specializing in LLM evaluation and GenAI pipelines
“LLM/agent engineer who built a production LangGraph multi-agent orchestrator connecting GitHub and APM/observability signals with a chain-of-verification loop for root-cause analysis. Emphasizes pragmatic architecture (start simple with state summaries), performance tuning (async LLM calls, Docker), and rigorous evaluation (LLM-as-judge, adversarial testing, hallucination/instruction adherence metrics, tool-call tracing) while iterating with non-technical stakeholders via A/B testing.”
Sharan Raj Sivakumar
Senior Software Developer specializing in AI/ML automation and cloud-native systems
“ML/MLOps practitioner who built production systems for telecom network analytics, including an automated labeling + multi-label Random Forest solution that cut labeling effort by 90% and sped up RCA. Led an Ericsson auto-deployment platform using Airflow, Azure IoT Hub, Docker, and Celery to orchestrate 120+ containerized ML/rule-based deployments, saving ~80 hours of setup per deployment.”
Senior Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in cloud-native microservices
Mid-level Full-Stack Software Engineer specializing in MERN, Java/Spring, and AWS
Mid-Level Software Engineer specializing in full-stack development, APIs, and cloud
Senior Software Engineer specializing in embedded systems, automotive software, and robotics
Mid-Level Full-Stack Software Engineer specializing in FinTech compliance and fraud detection
Senior Python Full-Stack Developer specializing in cloud-native APIs and regulated domains
Mid-level Machine Learning Engineer specializing in GenAI and scalable ML pipelines
Mid-Level Full-Stack Software Engineer specializing in web apps and regulatory cybersecurity
Junior Software Engineer specializing in full-stack, cloud, and DevOps
Mid-level Data Engineer specializing in cloud ETL, Spark, and analytics platforms
Entry-Level Application Developer specializing in backend systems and SQL performance optimization
Mid-level Full-Stack Software Engineer specializing in SaaS, data pipelines, and streaming systems
Mid-Level Systems Software Engineer specializing in cloud backends and connected devices
Mid-Level Software Engineer specializing in cloud-native microservices and distributed systems
Junior Robotics & ML Engineer specializing in autonomous systems and computer vision
Junior Software Engineer specializing in automation and full-stack development
Mid-level Integration & Automation Engineer specializing in API integrations and ETL pipelines