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Vetted Vector Search Professionals
Pre-screened and vetted.
sandeep Barige
Intern AI/ML Software Engineer specializing in LLMs, NLP, and multimodal systems
“Built and deployed a production AI-powered personalized learning platform (Django + FastAPI) featuring an LLM+RAG tutoring assistant and automated grading. Demonstrates strong applied LLM reliability engineering (structured JSON outputs with Pydantic validation, hallucination control via FAISS-based RAG thresholds and refusals) plus scalable async microservice design and Airflow-orchestrated ETL across AWS/GCP.”
Rizwana Shaik
Mid-level Full-Stack Software Engineer specializing in cloud-native apps and AI copilots
“Internship project building and deploying a LLaMA-based, RAG-enabled copilot inside a Professional Services Automation platform, enabling natural-language navigation, text-to-SQL reporting, and project/resource/budget insights across multiple modules. Addressed real production issues like context drift and vague queries with hybrid search, metadata enrichment, and an intent classification/rewriting layer, orchestrated via Apache Airflow—ultimately cutting PMO reporting time by 40%.”
Kishan Kumar Reddy Konreddy
Junior Software Engineer specializing in distributed systems and cloud platforms
“Software engineer (Lance Soft Engineering) who built a Java/gRPC real-time request tracking system supporting ~20K simultaneous requests, using Kafka event streaming and PostgreSQL to improve transparency and cut support requests by 35%. Demonstrates strong production operations skills—resolved live latency spikes with Kafka async messaging (+48% throughput) and executed safe migrations using parallel runs, staging validation, and blue-green deployments.”
Tharun Chowdary Malepati
Mid-level AI/ML Engineer specializing in GenAI, NLP, and production MLOps
“AI/LLM engineer who built and deployed a production healthcare RAG chatbot ("DoctorBot") with strict medical safety guardrails, an 85% confidence-gated verification layer, and latency optimizations that cut responses from ~8s to ~2–3s. Also worked on finflow.ai to generate finance/banking test cases from BRDs, collaborating closely with non-technical domain stakeholders, and has hands-on orchestration experience with LangChain/LangGraph and agentic evaluation/monitoring practices.”
Senior Product Manager specializing in mobile apps, API platforms, and AI-native developer tools
Junior Full-Stack Software Engineer specializing in industrial systems and LLM applications
Mid-level Full-Stack Software Engineer specializing in microservices and web applications
Entry-Level AI/ML Engineer specializing in LLM apps and RAG pipelines
Director-level AI & Data Consultant specializing in LLM/RAG, analytics, and growth
Senior Full-Stack Software Engineer specializing in Python, Angular, and AI-powered systems
Mid-level Software Engineer specializing in cloud-native full-stack and AI applications
Mid-Level Software Engineer specializing in AWS and AI-powered semantic search
Junior Full-Stack Software Engineer specializing in AI and RAG applications
Mid-level Software Engineer specializing in AWS, Python, and RAG-based LLM systems
Mid-level Full-Stack Engineer specializing in FinTech and e-commerce platforms
Junior Data Scientist/Analyst specializing in GenAI, RAG, and clinical data platforms
Mid-level AI Engineer specializing in Generative AI agents and LLM production systems
Junior Software Engineer specializing in AI infrastructure and RAG agents
Junior Machine Learning & Computer Vision Engineer specializing in LLM agents and data pipelines
Mid-level Machine Learning Engineer specializing in recommender systems and MLOps