Software Engineer @HSBC ||Vishwakarma Institute Of Technology

Pune District, Maharashtra, India









BTech, Artificial Intelligence and Data Science
Vishwakarma Institute of Technology
High School Diploma, Electronics and Communications
Bharat English School and Jr. College
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Backend Engineer focused on distributed systems, real-time infrastructure, and Voice AI. Experienced in building, load-testing, and scaling low-latency production systems handling thousands of concurrent interactions. I engineer at the intersection of real-time streaming and distributed architectures—where milliseconds matter, system observability is critical, and scale is non-negotiable. Currently at HSBC Technology India, designing and shipping core infrastructure for an enterprise-grade Voice AI platform. Recent Engineering Impact: → Voice AI & Audio Processing: Built a WebRTC VAD pipeline that increased ASR transcription accuracy from 45% to 92% and cut model hallucinations by 95% via intelligent audio segmentation (optimizing accuracy without adding compute costs). → Async Streaming & Messaging: Architected an asynchronous WebSocket stream ingestion engine handling 1,200+ concurrent sessions, integrated with Apache Kafka for real-time event publishing to downstream analytics. → Performance & Scale: Designed custom load-testing frameworks to validate sub-second latency and an RTF (Real-Time Factor) of ~0.3, ensuring system resilience under sustained peak traffic. I build backend systems that are highly observable, defensible under load, and modular enough for the next engineer to scale seamlessly. ⚙️ CORE EXPERTISE • Languages & Frameworks: Python, FastAPI, Asyncio, OOP, Data Structures & Algorithms (DSA) • Architecture & Streaming: Distributed Systems, Real-Time Streaming, Event-Driven Architecture, Kafka, WebSockets, Microservices, REST APIs • Infrastructure & Tools: AWS (EC2, S3, ECS), Load Testing, System Design, Concurrency Always open to connecting with fellow engineers, system architects, and tech recruiters building high-throughput, low-latency infrastructure. Let's talk backend systems or Voice AI!
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Software Engineer at HSBC, Jan 2026 - Present · 7 mos, Pune District, Maharashtra, India, Built backend services in Python and FastAPI handling real-time data streams over WebSocket connections — gaining hands-on experience with async architectures, concurrent request handling, and keeping latency predictable under load. Owned the integration of a third-party AI inference model into the service layer — handling API contracts, input/output data flow, and ensuring the integration didn't become a bottleneck in the processing pipeline. Built a signal-processing pipeline to filter and segment incoming data streams before passing them downstream — reducing unnecessary compute and improving end-to-end processing accuracy. Designed and ran custom load testing scripts to validate service behaviour at scale — measuring throughput, latency distribution, and stability under concurrent load in a regulated production environment. Identified and resolved performance bottlenecks through profiling the async backend, reducing per-request overhead and improving overall service throughput.
BTech, Artificial Intelligence and Data Science, Vishwakarma Institute of Technology
High School Diploma, Electronics and Communications, Bharat English School and Jr. College
github: https://github.com/TejassBharambe