Hi, I'm Sheharyar 👋

CS + Statistics @ University of Toronto  |  Incoming SWE Intern @ StackAdapt  |  Canadian Citizen

Portfolio  ·  LinkedIn  ·  Email

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About me

I'm a backend and ML-focused software engineer who has shipped production code across distributed systems, LLM pipelines, and data infrastructure. Currently interning at StackAdapt (Summer 2026) after 8 months at Geotab where I doubled SQL pipeline throughput and reduced frontend latency by 33% for 100K+ users.

I care about systems that scale and code that ships — not just prototype demos.

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What I build

• Distributed backends — FastAPI microservices, Kafka event streaming, AWS Lambda, Docker CI/CD
• LLM & AI pipelines — RAG with LangChain + Pinecone, multi-agent workflows with LangGraph, MCP tool orchestration
• Frontend — React + TypeScript, React Query, code-splitting, lazy loading
• Systems — multi-threaded C/C++ tooling, POSIX concurrency, Linux internals

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Featured projects

Project	What it does	Stack
DocRAG	Semantic search + RAG platform — sub-150ms retrieval over 10K+ docs	FastAPI · LangChain · Pinecone · Redis · AWS
BrowserBuddy	AI browser extension for QnA, similarity search & price comparison via MCP agents	LangGraph · FastAPI · React · Python
Stockgram	Stock portfolio tracker + social network, hosted on GCP	Spring Boot · PostgreSQL · Redis · Java
SysMon	Multi-threaded Linux CPU/memory monitor using POSIX threads & pipes	C++ · Linux · Bash

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Tech

Languages     Python · TypeScript · Java · C++ · C# · SQL · R
Frameworks    FastAPI · React · Spring Boot · LangChain · LangGraph · scikit-learn
Infrastructure AWS · GCP · Docker · Kafka · PostgreSQL · Redis · GitHub Actions

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Experience highlights

• StackAdapt — Incoming SWE Intern (May 2026)
• Geotab — SWE Intern: 2× SQL throughput, −33% frontend latency for 100K+ users, Claude AI agent saving 8–12h/sprint
• Adamjee Life — SWE Intern: −25% API latency, serverless AWS Lambda for 10K+ users
• GPA: 3.96 | Expected graduation: Aug 2027