Mohd Hasan Khan

Backend Engineer

Bengaluru, Karnataka, India0 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Engineered systems achieving 99.99% reliability.
Built a financial ledger with 1M+ transactions.
Reduced AI latency by 90% with innovative solutions.

Stackforce AI infers this person is a Backend Engineer specializing in Fintech and AI Infrastructure with a focus on reliability and performance.

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Skills

Core Skills

Financial IntegrityBackend DevelopmentAi InfrastructureDistributed Systems

Other Skills

PythonFastAPIPostgreSQLKafkaRedisRedis Vector DBLangChainKubernetesEtcdDockerSystems DesignRAFTAlgorithm AnalysisAnsibleCloud Infrastructure

About

I don’t just build APIs; I engineer systems that survive failure. I’m a Backend Software Engineer specializing in Distributed Systems, Financial Ledgers, and AI Infrastructure. My engineering philosophy is simple: speed is vanity, reliability is sanity. While many systems are optimized for the happy path, I obsess over edge cases: • What happens during a network partition? • How do we prevent double-spending under race conditions? • How do we maintain consensus when a leader node crashes? Core Engineering Focus 🏗 Distributed Systems Architected Nebula, a task orchestration engine implementing Raft-style leader election and heartbeat-based failure detection, achieving 99.99% system reliability. 💰 Financial Integrity Built Titan, a cryptographically verifiable financial ledger using double-entry bookkeeping and pessimistic locking to ensure 100% accuracy across 1M+ transactions. 🧠 AI Infrastructure Developed SmartCache, a semantic AI gateway leveraging vector similarity search to reduce LLM latency by 90% and cut token costs by 40%. Tech Stack: Python (Asyncio), PostgreSQL (ACID), Redis, Apache Kafka, Docker, Kubernetes, AWS. I’m currently looking for backend roles where I can tackle hard systems problems at scale. 🔗 Check out my work: https://github.com/hasanPathannn

Experience

0 mo

Total Experience

Average Tenure

Current Experience

Titan | high-throughput financial ledger

Backend Engineer (Financial Systems)

Oct 2025 – Present · 7 mos · Remote

Architected a cryptographically verifiable ledger utilizing Double-Entry Bookkeeping, ensuring 100% financial accuracy across 1M+ simulated transactions.
Eliminated Critical Race Conditions (Double-Spending) by engineering a Pessimistic Locking mechanism on PostgreSQL, guaranteeing serializable isolation.
Optimized Write Throughput by 40% using batched processing and optimistic concurrency control.
Decoupled Audit Services using Apache Kafka for event-driven logging, ensuring zero latency impact on the critical path.
Tech: Python, FastAPI, PostgreSQL, Kafka, Redis.

PythonFastAPIPostgreSQLKafkaRedisFinancial Integrity+1

Smartcache | semantic ai gateway

AI Infrastructure Engineer

Mar 2025 – Sep 2025 · 6 mos · Remote

Built a high-performance AI Gateway using Vector Similarity Search, reducing response latency by 90% (2s to ~200ms).
Integrated Redis Vector Search for Semantic Caching, cutting monthly LLM token costs by ~40%.
Developed a Token-Bucket Rate Limiter to manage throughput and prevent API abuse.
Tech: Python, Redis Vector DB, LangChain, Kubernetes.

PythonRedis Vector DBLangChainKubernetesAI Infrastructure

Nebula - distributed task orchestration engine

Distributed Systems Engineer

Jul 2024 – Feb 2025 · 7 mos · Remote

Engineered a fault-tolerant orchestration system managing concurrent task execution across dynamic worker nodes.
Implemented Raft-style Leader Election using Etcd to eliminate single points of failure (leader promotion < 200ms).
Designed a "Heartbeat" Failure Detector to guarantee 99.99% system reliability.
Implemented Redlock (Distributed Locking) to ensure exactly-once task execution.
Tech: Python, Etcd, Redis, Docker.

PythonEtcdRedisDockerDistributed Systems