01
Profile
Backend engineer with a track record across Google, Adobe, Oracle, and more — obsessed with distributed systems, AI infrastructure, and the "why" behind every design decision. Equally at home shipping production systems and building side projects that probe the edges of what backend + AI can do together.
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Work Experience
Google
current
Adobe
past
ServiceNow
past
Arcesium
past
Oracle
past
Infosys
past
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Free Time Projects
PythonFlaskKafkaDockerpgvectorMinIOOllamanginx
Document Intelligence Platform
A 7-microservice RAG system built entirely in free time. Event-driven document ingestion via Kafka, semantic search with pgvector + HNSW indexing, and local LLM inference through Ollama. Debugged and resolved a MinIO presigned URL signing issue using an nginx reverse proxy pattern.
nginx reverse proxy for CORS resolution and presigned URL signing
HNSW index on pgvector for sub-millisecond semantic retrieval
Async pipeline — upload → Kafka → process → embed → query
Fully containerised with Docker Compose; local LLM via Ollama
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Skills
Languages & Frameworks
Data & Storage
Infra & Observability
AI & Systems Concepts
Networking & Protocol Concepts
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Currently Learning
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HTTP & Networking Foundations
HTTPS lifecycle · TLS 1.3 · TCP · DNS · CDN · Reverse Proxy patterns
done
02
Caching Strategies
Redis caching layer · cache-aside · TTL design · measure-first approach
active
03
Async & Event-Driven Systems
Message queues · backpressure · consumer groups · at-least-once delivery
next
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AI / ML Systems Infrastructure
Embedding pipelines · vector DBs · agent state & session persistence
upcoming
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Scale & Distributed Infra
Sharding · replication · consensus algorithms · observability at scale
upcoming
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System Design Capstone
ByteByteGo · Patterns of Distributed Systems · DDIA deep-dive
upcoming