Tapan Savani

Software Engineer

Noida, Uttar Pradesh, India2 yrs 11 mos experience
Most Likely To Switch

Key Highlights

  • Expert in C++ and Machine Learning for finance.
  • Designed a low-latency trading platform.
  • Proven track record in real-time systems development.
Stackforce AI infers this person is a Backend-focused Software Engineer with expertise in SaaS and quantitative finance.

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Skills

Core Skills

C++Machine LearningBackend DevelopmentCloud Integration

Other Skills

API DevelopmentAWS S3Asynchronous ProgrammingAutomationC (Programming Language)Computer NetworksData Structures & AlgorithmsDatabase Management System (DBMS)Deep LearningERP SystemsFeature EngineeringFrontend DevelopmentFull-Stack DevelopmentInformation TechnologyJava

About

I am a C++ and Machine Learning developer transitioning into quantitative finance, with expertise in low-latency systems, statistical modeling, and time series forecasting. Proficient in C++ and Python. Currently working at Samsung R&D on real-time deep learning based model fintuning and cpp based inference pipelines, I bring expertise in C++ (multithreading, lock-free data structures, memory models) and Python (time series data analysis, statistical modeling). Designed and built TapQuant, a research-driven trading platform that combines low-latency C++ infrastructure with scalable Python analytics, supporting both rapid strategy research, Implementation and analysis. 🔹 Core strengths: - C++ (low-latency, concurrency, memory optimization) - Quantitative finance (portfolio theory, Black-Litterman, VaR, risk modeling) - Machine Learning & Deep Learning (CNN, LSTM, feature engineering) - Time Series Forecasting (SARIMA, GARCH, volatility modeling) I am passionate about solving complex problems at the intersection of finance, mathematics, and high-performance computing, and I aim to contribute to quant trading and research roles where performance and precision drive alpha.

Experience

Samsung electronics

Software Engineer

Jan 2024 – Present · 2 yrs 2 mos · Noida, Uttar Pradesh, India · On-site

  • Developed a hybrid deep learning + signal processing pipeline for real-time noise suppression, combining traditional DSP (normalization, feature extraction) with deep learning inference (GRU-based model).
  • Redesigned the feature extraction workflow (NumPy/Pandas prototyping to C++ production) achieving 20% feature reduction without loss of accuracy, improving model efficiency and inference speed under strict latency constraints.
  • Designed and implemented synthetic data generation pipelines using Signal to Noise Ratio (SNR) and Signal to Distortion Ratio (SDR) based mixing, increasing dataset size by 30% and enhancing model robustness in noisy environments.
  • Trained and deployed a GRU-based real-time model achieving 15% TAR improvement over baseline, with sub-10ms inference latency; later ported and optimized in C++ for edge deployment.
  • Delivered an end-to-end Tizen-based application and service for real-time inference testing, integrating model evaluation, audio I/O pipelines, and performance monitoring on production hardware.
C++Deep LearningSignal ProcessingReal-time SystemsMachine Learning

Techstile

2 roles

Software Developer

Promoted

Dec 2022 – Jun 2023 · 6 mos · Surat, Gujarat, India · On-site

  • Developed asynchronous request processing and a real-time notifications engine for TECHstile ERP, reducing response time by 45% and improving concurrent transaction handling by 3×.
  • Automated invoice generation and delivery over WhatsApp and Telegram APIs, reducing client communication delays by 70% and enabling real-time alerts for dispatch and billing events.
  • Built an AWS S3-driven storage pipeline for scalable invoice archiving with dynamic, low-latency retrieval logic for order tracking and client reporting.
  • Applied backend optimization strategies and modular system design principles to enhance maintainability and performance across ERP modules.
  • Gained hands-on experience in asynchronous architecture, cloud integration, and API automation for enterprise systems.
Asynchronous ProgrammingAPI DevelopmentAWS S3ERP SystemsBackend DevelopmentCloud Integration

Software Developer

May 2022 – Jul 2022 · 2 mos · Surat, Gujarat, India · On-site

Techmihirnaik group

Back-end Developer

Oct 2021 – Jan 2022 · 3 mos · Mumbai, Maharashtra, India · Remote

Education

Indian Institute of Information Technology Vadodara

Bachelor of Technology - BTech — Information Technology

Jan 2019 – Jan 2023

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