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Vetted Data Ingestion Professionals
Pre-screened and vetted.
Mid-level Data Scientist specializing in LLMs and NLP for financial analytics
Mid-Level Generative AI Engineer specializing in LLM apps, RAG, and cloud deployment
Senior Software Engineer specializing in GenAI and full-stack enterprise applications
Senior Machine Learning Engineer specializing in MLOps and Generative AI
Senior Machine Learning Engineer specializing in Generative AI and LLM systems
Senior Full-Stack Engineer specializing in scalable backend and marketplace systems
Senior Software Engineer specializing in cloud-native backend and data platforms
Director-level Engineering Leader specializing in cloud platforms, AI/ML, and scalable SaaS
Senior Software Engineer specializing in backend, full-stack, and AI systems
Aniruddha Rajnekar
Mid-level Full-Stack Engineer specializing in FinTech and cloud-native systems
“Full-stack engineer with about 3 years of experience who is deeply hands-on with AI-assisted development and agentic systems. Built TubeAgent using LangChain, Ollama, FAISS, and Llama 3, and has demonstrated measurable impact by cutting review time by 90% and reducing deployment time from 30 minutes to under 5 minutes at NC State. Combines practical experimentation with strong architectural thinking around resilient, composable AI systems.”
Vamsidhar Vuddagiri
Mid-level AI/ML Engineer specializing in LLM fine-tuning, RAG, and MLOps
“Built an LLM-powered academic research assistant for a professor (LangChain + OpenAI + arXiv) focused on synthesizing papers quickly, with emphasis on reliability (ReAct prompting, citation verification) and cost control (caching). Has production MLOps/orchestration experience at Cisco and HCL Tech using Kubernetes, plus MLflow and GitHub Actions for lifecycle management and CI/CD.”
Ruudra Patel
Junior Data Scientist specializing in ML, LLMs, and RAG applications
“University hackathon finalist (2nd place) who built CareerSpark, a production-style multi-agent career guidance app in 24 hours using a hierarchical debate architecture with a moderator/judge agent. Has startup internship experience at LiveSpheres AI using LangChain for multi-LLM orchestration, and demonstrates a structured approach to testing/evaluation (golden sets, integration sims, latency/accuracy KPIs) plus strong non-technical stakeholder communication.”
Lukas Chin
Junior Full-Stack Software Engineer specializing in web and mobile applications
“Full-stack engineer with startup experience who owned an end-to-end rebuild of a production analytics page at VideoNest (Next.js/TypeScript frontend, FastAPI/Python backend, Postgres), including third-party data ingestion/sync and query/index optimization; the feature reached 2,500+ users and received positive feedback from large clients. Also built a habit/community mobile app (Celeri) with near-real-time step updates using polling and UI optimizations like pagination and selective re-rendering.”
Varshitha K
Mid-level Data Engineer specializing in cloud data platforms and lakehouse architectures
“Data engineer in a banking context who has owned end-to-end Azure lakehouse pipelines ingesting financial/vendor data from APIs, Azure SQL, and flat files into Databricks/Delta (bronze-silver-gold). Emphasizes production reliability via schema-drift validation, data quality controls, monitoring/alerting, retries/checkpointing, and Spark/Delta performance tuning, with outputs served to BI/reporting teams (e.g., Tableau).”