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My professional background, education, and experience. Download the full resume using the button above or browse the sections below.
General Information
| Full Name | Mudit Bhargava |
| muditbhargava666@gmail.com | |
| Specializations | Signal Processing, Financial Modeling, Machine Learning/AI, FPGA Development |
| Languages | English, Hindi |
Technical Skills
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Programming Languages
- Python, C/C++, Verilog/SystemVerilog, MATLAB
- JavaScript, Ruby, Shell Scripting
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Machine Learning & AI
- TensorFlow, PyTorch, Scikit-learn, Keras
- Deep Learning, Computer Vision, NLP
- Time Series Analysis, Predictive Modeling
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Signal Processing
- Digital Signal Processing (DSP)
- Real-time Signal Analysis
- Fourier Analysis, Wavelet Transforms
- Adaptive Filtering, Spectral Analysis
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FPGA & Hardware
- Xilinx Vivado, Intel Quartus
- High-Level Synthesis (HLS)
- FPGA-based Acceleration
- Embedded Systems Design
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Financial Technologies
- Quantitative Analysis
- Algorithmic Trading Systems
- Risk Modeling
- Time Series Forecasting
Areas of Interest
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Research Interests
- Hardware Acceleration of ML Algorithms
- Real-time Signal Processing on FPGAs
- Quantitative Finance and Algorithmic Trading
- Edge AI and Embedded Machine Learning
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Application Domains
- Financial Technology (FinTech)
- Telecommunications
- Biomedical Signal Processing
- Autonomous Systems
Professional Development
- Continuous learning through online courses and certifications
- Active participation in open-source projects
- Regular contribution to technical blogs and forums
- Attendance at conferences and workshops in signal processing and AI
Tools & Technologies
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Development Tools
- Git, GitHub, Docker, CI/CD pipelines
- Jupyter Notebooks, VS Code, Vim
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Cloud & Computing
- AWS, Google Cloud Platform
- CUDA, OpenCL for GPU computing
- Distributed computing frameworks
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Data Analysis
- Pandas, NumPy, SciPy
- Matplotlib, Seaborn, Plotly
- SQL, NoSQL databases
Other Interests
- Technical: Open-source hardware, Quantum computing, Blockchain technology
- Personal: Photography, Travel, Music production, Reading technical papers