haider@portfolio:~$
open to new opportunities — remote · US / UK / EU relocation

Syed Mohd
Haider Rizvi

I build agentic AI systems and petabyte-scale data platforms that ship to production.

Consultant Specialist at HSBC, building next-generation AI products for one of the world's largest banks. Previously at Ford, I architected 25PB+ data platforms and an agentic AI optimizer projected to save $2.4M a year. I care about the unglamorous parts that make AI real: evals, reliability, and cost.

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$0M
Projected annual savings — agentic AI optimizer, Ford
0PB+
Data platform scale architected
0×
API throughput improvement at HSBC
0K+
Businesses & users impacted
0%
Uptime on redesigned microservices
0%
Setup-time cut: 5 hours → 30 seconds

[ 01 ] selected work

Systems that ship, scale, and save money

Enterprise AI platforms running inside two of the world's largest companies, and open-source tools for the developer community. Three have full case studies.

Independent · MCP + Evals in development

TrueArch — verified framework knowledge for AI coding agents

A Model Context Protocol (MCP) server that grounds AI coding agents in verified, current framework documentation instead of stale training data — with a code validator and telemetry built in. Measured with an A/B evaluation harness across real coding tasks.

+26% code-quality improvement in A/B evals · 16 framework knowledge packs · eval-first design

MCPLLM evalsPythonFastAPIAI agents
Ford · GenAI

Agentic BigQuery Optimizer

LLM agents that analyze warehouse workloads and automate resource allocation and query optimization across a 25PB+ platform.

$2.4M projected annual savings · Top AI Innovator, Ford 2025

Read the case study
LLM agentsBigQueryGCP
Ford · Platform

25PB cross-cloud data platform

Data-pipeline platform architected for GCP/AWS portability, plus feed onboarding automated from a 5-hour manual process to 30 seconds.

25PB+ scale · 5h → 30s onboarding (−99%) · $120K saved annually

Read the case study
Distributed systemsKubernetesJava
HSBC · Enterprise AI

Natural-language → SQL copilot

GPT-powered interface that lets analysts generate production SQL from plain English, integrated with enterprise data pipelines for financial reporting.

80% reduction in development time · democratized data access

Read the case study
OpenAI GPTLangChainNLP
Open source

PyVisualizer

AST-powered code-analysis engine that turns Python codebases into interactive architectural diagrams — understand unfamiliar systems in minutes, not days.

Adopted by 1000+ developers globally · 10× faster system comprehension

PythonASTD3.jsStatic analysis
Open source

PipelineIQ

Predictive intelligence for BigQuery workflows. ML models forecast query performance and cost before execution, then recommend optimizations.

Up to 84% prediction accuracy · pre-deployment cost forecasting

Machine learningBigQueryFastAPI

[ 02 ] experience

4.5+ years across banking, automotive & AI

A track record of taking systems from architecture to production inside Fortune-100-scale organizations.

Consultant Specialist

HSBC

Jan 2026 — Present · Pune, India

  • Spearheading development and deployment of next-generation AI products for the bank, leveraging advanced LLMs and cloud technologies to drive innovation in financial services.

Senior Software Engineer

Ford Motor Company

Aug 2024 — Dec 2025 · Bengaluru, India

  • Architected 25PB+ data-pipeline platforms with cross-cloud portability (GCP/AWS), applying microservice and distributed-system patterns for enterprise reliability.
  • Built an agentic AI optimizer (LLMs + BigQuery) projected to save $2.4M annually through automated resource allocation and query optimization.
  • Automated feed setup (Java, Spring Boot, Kubernetes): 5 hours → 30 seconds, saving $120K a year.
  • Led global cross-functional teams, reporting to a US-based global manager across time zones.
★ Top AI Innovator, Ford 2025 · 1st place, Data Platform Engineering hackathon

Senior Software Engineer

HSBC

Jan 2022 — Aug 2024 · Pune, India

  • Developed NLP-powered AI solutions on OpenAI GPT models integrated with enterprise pipelines — natural-language SQL cut development time by 80%.
  • Optimized transaction APIs to 5× throughput via algorithmic work, async processing, and caching — impacting 300K+ daily users.
  • Redesigned microservice architecture, cutting infrastructure cost 20% at 99.9% uptime under regulatory compliance.
  • Mentored 5+ engineers on system design and cloud-native architecture.
★ Top Performer 2023 · Pat on the Back 2024 · GCP Cloud Hero

Programmer Analyst Trainee

Cognizant

Aug 2021 — Jan 2022 · Bengaluru, India

  • Implemented Big Data solutions (Java, SQL, Hadoop, AWS) for enterprise clients, improving processing efficiency 15%; founded a knowledge-sharing forum for new engineers.

[ 03 ] capabilities

Depth where it matters

From agent architectures and evaluation frameworks to the distributed systems underneath them.

Agentic AI

  • AI agent development
  • LLM evaluation frameworks
  • MCP & tool use
  • RAG pipelines · vector DBs
  • LangChain · Google ADK
  • Prompt engineering · multimodal

Languages

  • Python
  • Java
  • SQL
  • Go

Cloud & Infra

  • Google Cloud Platform
  • AWS
  • Kubernetes · Docker
  • CI/CD · DevOps
  • Event-driven systems

Data & Backend

  • System design · distributed systems
  • BigQuery · PostgreSQL · NoSQL
  • Spring Boot · FastAPI
  • Microservices
  • Data structures & algorithms

[ 04 ] quick facts

At a glance

ROLE
AI Platform Engineer — Consultant Specialist (AI Products) at HSBC
FOCUS
Agentic AI systems, LLM evaluation, RAG, and the data platforms underneath them
SCALE
25PB+ data platforms · 500K+ users · $2.4M projected AI-driven savings
BASE
Pune, India — open to remote and relocation (US, UK, EU incl. Ireland & Spain; visa sponsorship welcome)
EDU
M.Tech Applied AI (VNIT Nagpur) · B.Tech CS (SRM CEM) with IIT Madras deep-learning specialization
CONTACT
smhrizvi281@gmail.com

Now — July 2026

  • Shipping next-generation AI products at HSBC
  • Building TrueArch: an MCP server with a measured A/B eval harness (+26% code quality)
  • Deep in agent evaluation — how to prove an AI system works before it ships
  • Completed M.Tech in Applied AI at VNIT Nagpur alongside full-time work

[ 05 ] education & recognition

M.Tech, Applied Artificial Intelligence

Visvesvaraya National Institute of Technology, Nagpur

2024 — 2025

Highly competitive professional master's program at one of India's top NITs — pursued alongside full-time engineering work.

B.Tech, Computer Science

SRM CEM · Deep Learning specialization with IIT Madras

2017 — 2021

Best Project Award for an applied-AI capstone.

Top AI Innovator · Ford, 2025 1st Place · Ford DPE Hackathon Top Performer · HSBC, 2023 GCP Cloud Hero · 2023 Pat on the Back · HSBC, 2024

[ 06 ] contact

Let's build what's next.

I'm interested in hard problems at the intersection of AI and large-scale systems. If you're hiring for a team doing that kind of work — or just want to talk shop — my inbox is open.

smhrizvi281@gmail.com Download résumé

Also on GitHub and LinkedIn · +91 933 523 1073