Satyam Saxena
Data AnalystAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Applied Science Manager @ AWS | GenAI & ML Expert | Transforming Complex Research Problems into Business-Critical Solutions
I lead an applied science team at the AWS Generative AI Innovation Center (GenAIIC). We partner with Europe's largest enterprises on short, intense GenAI proofs-of-concept that go all the way through to deployment. The work spans agentic and multi-agent systems, retrieval-augmented generation, fine-tuning, multimodal generation and understanding, evaluation harnesses, and edge inference. Over the past decade I've worked across the full ML stack: address understanding and geocoding for Amazon's global logistics, candidate deduplication for Amazon's hiring pipeline, social-media noise cancellation at Freshworks (two US patents), and malicious-domain detection at Cisco. At AWS the work has shifted to large language models, agentic systems, RAG, and multimodal generation — but the throughline is the same: applied research that ships into production and is measured by the customer. Specialties: applied ML & deep learning · GenAI / LLMs · computer vision · NLP · engineering management · enterprise AI productisation.
Indian Institute of Technology Jodhpur
Master's degree, Information and communication technology
January 1, 2012 – January 1, 2014
CSA University
Bachelor of Engineering - BE, Computer Science
August 1, 2008 – August 1, 2012
Amazon Web Services (AWS)
Applied Science Manager
April 1, 2024 – Present
Amazon Web Services (AWS)
Senior Applied Scientist (AI/ML)
July 1, 2023 – April 1, 2024
Amazon Web Services (AWS)
Applied Scientist II
August 1, 2021 – July 1, 2023
Amazon
Applied Scientist II
December 1, 2019 – August 1, 2021
Amazon
Applied Scientist - I
November 1, 2017 – December 1, 2019
Freshworks
Data Scientist
November 1, 2016 – November 1, 2017
Chennai Area, India
Cisco
Software Engineer
August 1, 2014 – November 1, 2016
Bangalore
Mobile based assistance for visually impaired people
May 1, 2014 – February 1, 2015
Mobile based vision applications are the current trend of research. Many applications have been designed on mobile platforms to solve interesting vision problems. Google goggles’ is one such application, which is based intensively on the classification and recognition algorithms in computer vision. Various other vendors and developers have developed application for solving challenging problems of vision on mobile devices. Guiding a person in a museum using the image content taken from mobile is one such application which inspired us for choosing this area of research. Another such application uses model of a shopping mall to help a person reach a certain object. Many such applications have been designed in the past, which use visual feedback from vision sensor on the smart phones to solve challenging computer vision problems.
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Big Data XSeries from UC BerkeleyX
edX
June 24, 2026 – Present
Machine Learning
Coursera
June 24, 2026 – Present
Machine Learning Foundations: A Case Study Approach
Coursera
June 24, 2026 – Present
edX Verified Certificate for Scalable Machine Learning
edX
June 24, 2026 – Present
Basic Robotic Behaviors and Odometry
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Machine Learning: Regression
Coursera
June 24, 2026 – Present
edX Verified Certificate for Introduction to Big Data with Apache Spark
edX
June 24, 2026 – Present
Image and video processing
Coursera
June 24, 2026 – Present
Cultural Fit Analysis
The candidate has a strong background in applied science and machine learning, primarily within large tech companies (Amazon/AWS, Cisco, Freshworks). While their technical depth is undeniable, the target role of 'Data Analyst' might be a step down from their current and past senior Applied Scientist/Manager roles, potentially indicating a mismatch in career trajectory or expectations. The project diversity is strong within the ML/AI domain, but less so in traditional data analysis or business intelligence, which might be a component of a Data Analyst role. Their extensive experience in leading and delivering complex ML projects suggests a preference for advanced research and development rather than potentially more routine data analysis tasks. This could lead to a cultural fit challenge if the Data Analyst role is not sufficiently challenging or aligned with their advanced skill set.
Soft Skills & Operational Fit
The candidate's experience as an Applied Science Manager and Senior Applied Scientist at AWS demonstrates strong leadership, project management, and collaboration skills. Their ability to partner with enterprise customers and train field teams indicates excellent communication and stakeholder management. The descriptions highlight a proactive approach to problem-solving and a focus on delivering impactful solutions, suggesting a strong operational fit for roles requiring both technical depth and practical application.