Hello

@suvigya

Resume ↓
Hi I'm Suvigya

I ship products.

Software Engineer at S&P Global. I build scalable AI systems, LLM pipelines, and full-stack applications. Specialized in agentic workflows, RAG systems, and cloud-native architectures. Python · FastAPI · LangChain · AWS · React

Projects

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BlissYards.ai

BlissYards.ai

live

Satellite land monitoring SaaS detecting encroachment with AI change detection and court-ready evidence.

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PreVisit (Lemina.ai)

PreVisit (Lemina.ai)

live

Voice AI agent replacing 20-minute manual clinical intake with 3-5 minute automated agentic workflow.

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CrewEats

CrewEats

live

Group food ordering coordination app with Swiggy Dineout MCP integration. Swiggy Builders Club approved.

Organization Projects

Internal tools and systems built at S&P Global. Click a card for technical details.

Experience

S&P Global

S&P GlobalSoftware Engineer

Aug 2025 - Present

Architected and deployed LLM pipelines with LangChain and FastAPI serving 10k+ daily requests with sub-200ms p99 latency via async batching and Redis caching

Built geospatial ETL on Databricks/PySpark processing 50M+ physical risk records — reduced pipeline runtime from 6h to 40min via partition pruning and broadcast joins

Designed event-driven microservices with Kafka (3-broker cluster, 99.9% uptime) for real-time risk analytics — decoupled 8 downstream consumers from monolith

Developed agentic RAG system (MB Tiles, AWS Resource Query Assistant) with tool-calling, memory, and fallback chains — replacing manual analyst workflows

Orchestrated serverless workflows via AWS Step Functions with retry logic, dead-letter queues, and CloudWatch alarms for zero-downtime deploys

PythonFastAPILangChainDatabricksPySparkKafkaAWS LambdaStep FunctionsPostgreSQLRedisDocker
Prodigal AI

Prodigal AISoftware Development Intern

Aug 2024 - Oct 2024

Built Node.js/Express backend services with NLP and LLM integrations processing 100k+ call transcripts daily for compliance scoring

Optimized MongoDB aggregation pipelines reducing ML inference query time by 60% via compound indexes and query plan analysis

Shipped production features end-to-end: designed REST APIs, wrote integration tests, and deployed via CI/CD pipeline to AWS ECS

Node.jsTypeScriptLLMsNLPMongoDBExpress.jsAWS ECSCI/CD

Skills

Python
Node.js
TypeScript
React
Next.js
FastAPI
LangChain
PostgreSQL
MongoDB
Redis
AWS
Docker
Kafka
Gemini
OpenAI
Claude
Tailwind CSS
RAG

Document

My Resume

Software Engineer at S&P Global. AI systems, LLM pipelines, agentic workflows, RAG, cloud-native architectures. Open to high-impact roles.

PythonFastAPILangChainAWSDatabricksKafkaReact

About Me

Software Engineer with 1 year of production experience at S&P Global building LLM pipelines, agentic AI systems, and full-stack applications.

I ship things. From satellite SaaS detecting land encroachment to voice AI agents automating clinical intake workflows. I ship products that solve real problems at scale.

Currently shipping:BlissYards.ai- satellite land monitoring SaaS with AI change detection and court-ready PDF evidence generation.

Open to SDE-1, Full Stack, Backend, and AI Engineer roles. Immediate joiner. Let’s build something great together.