Building Reliable
AI Systems.
Hi, I'm Vanshika, an
AI Engineer
I specialize in orchestrating Large Language Models, developing intelligent agents, and scaling robust backend architectures that solve real-world problems.
DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦ DESIGN • BUILD • SHIP • REPEAT ✦
currently_building.sh
Live
System Initialized...
~❯Executing deployment sequence for production AI systems
Scaling healthcare automation pipelines
Orchestrating multimodal LLM workflows
Designing highly-reliable agentic systems
~❯
5+
Years Experience
100+
Production Prompts
98%
Extraction Accuracy
95%
Latency Improvement
52%
API Cost Reduction
50+
Healthcare Providers
Technical Arsenal
A comprehensive toolkit of the technologies I use to build scalable AI systems and robust applications.
AI & Generative AI
LLMs
Prompt Engineering
RAG
Agentic Workflows
Structured Outputs
Gemini
Anthropic
OpenAI
LangChain
LangGraph
MCP
Prompt Optimization
LLM Observability (Langfuse)
LLM evaluation and benchmarking
AI Specializations
Vision Language Models (VLMs)
OCR Pipelines
Document Intelligence
Backend
Python
FastAPI
Pydantic
SQLAlchemy
Cloud & Infrastructure
AWS (S3, EC2, Lambda, Step Functions, Glue)
Serverless Architecture
Docker
Git
Data & Analytics
SQL
PostgreSQL
Snowflake
Pandas
Tableau
Excel
Frontend
ReactJS
Next.js
JavaScript
HTML5
CSS3
Tailwind CSS
Professional Philosophy
My approach to building AI systems is grounded in rigorous software engineering principles, not just API wrappers.
Reliability Over Hype
Building robust, deterministic wrappers around non-deterministic models.
Ship Production-Ready
Prioritizing observability, rate limiting, and RBAC from day one.
Measure Business Impact
Decisions driven by extraction accuracy, latency, and cost reduction.
Augment Users
AI systems should empower human operators without removing agency.