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Raphaël Abbou Email & Phone Number
Staff Machine Learning Engineer
at
Tacta Systems, Inc.
1 work email found
@femtosense.ai
LinkedIn matched
✓ Verified Jun 2026
4 data sources
Profile completeness 100%
Current company
Role
Staff Machine Learning Engineer
Location
Menlo Park, California, United States
Company size
Who is Raphaël Abbou? Overview
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Quick answer
Raphaël Abbou is listed as Staff Machine Learning Engineer at Tacta Systems, Inc., a company with 31 employees, based in Menlo Park, California, United States. AeroLeads shows a work email signal at femtosense.ai and a matched LinkedIn profile for Raphaël Abbou.
Raphaël Abbou previously worked as Senior Deep Learning Engineer at Femtosense and Deep Learning Engineer at Femtosense. Raphaël Abbou holds Master Of Science - Ms, Computational & Mathematical Engineering from Stanford University.
Company email context
Email format at Tacta Systems, Inc.
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*@femtosense.ai
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AeroLeads found 1 current-domain work email signal for Raphaël Abbou. Compare company email patterns before reaching out.
Profile bio
About Raphaël Abbou
Working at Femtosense, I have been at the forefront of developing ultra-efficient AI solutions for embedded devices, focusing on speech and audio processing. My research has spanned areas such as model training for optimal human perception, model compression (model distillation, quantization and pruning), and hardware-aware model optimization. Having earned two master’s degrees - one in Computer Science from Stanford and one in Applied Mathematics from Centrale Paris - I have developed a robust theoretical and applied understanding of AI. This background equips me to both grasp the latest advancement in the field and implement them efficiently.
Listed skills include Python, Finance, Business, Leadership, and 10 others.
Current workplace
Raphaël Abbou's current company
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Tacta Systems, Inc.
9 roles
Raphaël Abbou work experience
A career timeline built from the work history available for this profile.
Role listed
Senior Deep Learning Engineer
Current- Designed, implemented and optimized the training methodology for ultra-low power Keyword Spotting and Natural Language Understanding models, achieving high recognition rate in very noisy and far-field conditions. - Conducted research study on SOTA compression techniques (sparsity, quantization) for language models- Contributed to the standardization of.
Jul 2023 - Present
Deep Learning Engineer
- Built a production-grade AI-based Speech Enhancement algorithm (preserving speech while removing noise), demonstrated at CES 2022, 2023 and 2024, targeted at tiny embedded devices.- Designed novel architectures to achieve ultra-low latency and power for Speech Enhancement.- Conducted research on innovative loss function design to preserve speech.
Sep 2020 - Jul 2023
Ml & Quant Research Intern
Quantport
- Developed a statistical methodology to compare strategy performances on auto-correlated time series- Built ML models and evaluation frameworks for factor-based alpha strategies (equity)- Designed features and models for earnings forecasting
Jul 2019 - Jan 2020
Teaching Assistant
Taught CME100, Vector Calculus for Engineers (including optimization, multi-dimension integrals, linear algebra…) in Q3 2019 and 2020.
Apr 2019 - Jun 2019
Structuring Trainee - Equity Derivatives - Qis
Part of Quantitative Investment Strategies, whose aim is to propose new quantitative systematic strategies (equity and cross-asset) to institutional clients:- Worked on SG's flagship hedging strategies, implemented a put replication backtester- Developed a new short vol strategy based on Var Swaps- Optimization of Python code runtime- Developed a VIX-based.
Mar 2018 - Sep 2018
Trading Analyst Intern - Exotic Derivatives
Part of the Global Financial Resources Management Team, in charge of optimizing regulatory margins impacting trading books:- Proposed several clearing and compression packages, conducted analysis (RWA reduction, IM optimization, CSA impact)- Priced floors in the context of negative rates issues (EONIA/Euribor cost on collateral for bilateral positions).
Jun 2017 - Dec 2017
Mathematics Lecturer
Providing students in courses preparing for top French Business Schools with weekly oral exams, called "kholles", in analysis, probabilities and algebra
Sep 2016 - Jun 2017
4 education records
Raphaël Abbou education
Master Of Science - Ms, Computational & Mathematical Engineering
Master Of Science - Ms, Applied Mathematics, Gpa: 4.0
Mpsi-Mp*
Lycée Pasteur - Neuilly-Sur-Seine
Scientific Baccalauréat With Highest Honors
Lycée Pasteur - Neuilly-Sur-Seine
FAQ
Frequently asked questions about Raphaël Abbou
Quick answers generated from the profile data available on this page.
What company does Raphaël Abbou work for?
Raphaël Abbou works for Tacta Systems, Inc..
What is Raphaël Abbou's role at Tacta Systems, Inc.?
Raphaël Abbou is listed as Staff Machine Learning Engineer at Tacta Systems, Inc..
What is Raphaël Abbou's email address?
AeroLeads has found 1 work email signal at @femtosense.ai for Raphaël Abbou at Tacta Systems, Inc..
Where is Raphaël Abbou based?
Raphaël Abbou is based in Menlo Park, California, United States while working with Tacta Systems, Inc..
What companies has Raphaël Abbou worked for?
Raphaël Abbou has worked for Tacta Systems, Inc., Femtosense, Quantport, Stanford University, and Societe Generale Corporate And Investment Banking - Sgcib.
How can I contact Raphaël Abbou?
You can use AeroLeads to view verified contact signals for Raphaël Abbou at Tacta Systems, Inc., including work email, phone, and LinkedIn data when available.
What schools did Raphaël Abbou attend?
Raphaël Abbou holds Master Of Science - Ms, Computational & Mathematical Engineering from Stanford University.
What skills is Raphaël Abbou known for?
Raphaël Abbou is listed with skills including Python, Finance, Business, Leadership, R (Statistics, Statistiques, Economics, and Equity Derivatives.
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