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Tejas Bharambe

Software Engineer @HSBC ||Vishwakarma Institute Of Technology

Pune Division

1+ year of work experience

HSBC
Jul 20257 mosPresent

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.

Tejas’s AI Stack

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anthropic apis
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github copilot
github copilot
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Education

Vishwakarma Institute of Technology

BTech, Artificial Intelligence and Data Science

Vishwakarma Institute of Technology

20214 yrs2025

High School Diploma, Electronics and Communications

Bharat English School and Jr. College

20192 yrs2021

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Headline

Software Engineer @HSBC ||Vishwakarma Institute Of Technology

About

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!

Location

Pune Division

AI stack

anthropic apis

claude code

claude

github copilot

kilocode

mcp

mistral

opencode

Work experience

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.

Education

BTech, Artificial Intelligence and Data Science, Vishwakarma Institute of Technology

High School Diploma, Electronics and Communications, Bharat English School and Jr. College

Public links

github: https://github.com/TejassBharambe