Agentas Multi-Agent Gateway
FastAPI service routing user requests through AWS Bedrock AgentCore with RAI guardrails, orchestrating multi-agent workflows with Redis session management.
Available for opportunities
Hello, I'm
Vaishnavi N
Data Scientist • AI Engineer
I build production-grade AI systems with 2+ years of experience in Generative AI, RAG pipelines, and multimodal retrieval. Specializing in LLMs, vector search, and scalable ML architectures.
2+
Years Exp
8+
Projects
92%
Accuracy
Professional Profile
About Me
Data Scientist & AI Engineer specializing in production-grade intelligent systems
Executive Summary
Results-driven Data Scientist with 2+ years of experience architecting production-grade AI systems. Currently at Grid Dynamics, I specialize in Generative AI, RAG pipelines, and multimodal retrieval systems.
Proven track record in building scalable ML architectures that achieve 92%+ accuracy rates. Expert in AWS Bedrock integration, agent orchestration, and hybrid reranking strategies.
92% Retrieval Accuracy
Achieved industry-leading accuracy through advanced hybrid reranking algorithms
Production AI Systems
Architected and deployed multi-agent platforms serving enterprise clients
AWS Bedrock Integration
Expert in routing complex requests through AWS Bedrock infrastructure
Professional Journey
2023 - Present
Data Scientist
Grid Dynamics
Leading development of multi-agent platforms and MCP servers. Architecting RAG systems with 92% retrieval accuracy using hybrid reranking strategies. Integrating AWS Bedrock for complex agent workflows.
Technical Expertise
Specialized in cutting-edge AI technologies and scalable system architecture
Core Competencies
2+
Years
8+
Projects
95%
Accuracy
95%
AI/ML
85%
Cloud
80%
DevOps
AI & Machine Learning
Generative AI & RAG
Production RAG systems, multimodal retrieval, LLM orchestration
NLP & Transformers
HuggingFace, BERT, GPT integration, custom fine-tuning
PyTorch & TensorFlow
Model training, optimization, deployment pipelines
Backend & Cloud
Python & FastAPI
REST APIs, async programming, microservices architecture
AWS & Azure
Bedrock, AKS, Blob Storage, serverless functions
Docker & Kubernetes
Containerization, orchestration, CI/CD pipelines
Data & Tools
Vector Databases
Cassandra, Redis, vector search, hybrid retrieval
SQL & NoSQL
Complex queries, optimization, data modeling
Git & CI/CD
Version control, automated testing, deployment pipelines
Tech Stack & Tools
Technologies I work with daily
Featured Projects
A selection of production systems and AI solutions I've architected and deployed.
MCP Server Platform
Built a Model Context Protocol server exposing 9 AI tools via REST API with CSV-driven dynamic registry and Azure Blob Storage integration on AKS.
Multimodal RAG System
End-to-end RAG system using ColPali, GPT-4o, and Cassandra achieving 92% retrieval accuracy with hybrid dense + NER reranking for text-image Q&A.
TalentIQ AI Recruitment Copilot
AI-powered resume-job matching system using LLMs improving candidate fit by 40% with Streamlit UI and Firebase authentication.
My Approach
How I transform ideas into production-ready AI systems.
Research & Discovery
Deep dive into the problem space, review state-of-the-art research, and identify the optimal AI architecture.
Prototype & Validate
Build rapid prototypes with core functionality, validate assumptions through experiments, and iterate based on metrics.
Scale & Optimize
Architect for production with proper observability, optimize for latency and throughput, and implement robust error handling.
Deploy & Monitor
Deploy with CI/CD pipelines, implement comprehensive monitoring, and continuously improve based on real-world usage.
Get In Touch
Interested in collaborating on AI projects or discussing opportunities? Let's connect.