Alind Gupta

AI Researcher

Greater Paris Metropolitan Region2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Optimized AWS costs by 33% at Amazon.
Boosted prediction accuracy by 20% at InstaDeep.
Led development of NLP-driven search engine at Dassault Systèmes.

Stackforce AI infers this person is a skilled AI Research Engineer with a focus on scalable machine learning systems in industrial applications.

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Skills

Core Skills

Reinforcement LearningNeural NetworksAwsJavaNlpMobile Development

Other Skills

A/B TestingArtificial Intelligence (AI)CC (Programming Language)College FootballComputer ScienceComputer VisionData ScienceDeep LearningDistributed SystemsFront-end OptimizationMPCMavenNumPyPyTorch

About

I'm an AI Research Engineer with 3+ years of experience designing, building, and deploying scalable machine learning and deep learning systems across industry-leading organizations like Amazon, Dassault Systèmes, and InstaDeep. My work spans from building transformer-based NLP search engines and real-time inference pipelines to applying neural system identification and Model Predictive Control for data-efficient reinforcement learning in bio-chemical processes. At Amazon, I optimized high-traffic production services used by over 10,000 sellers, cutting latency and AWS costs by up to 33%. At Dassault Systèmes, I led the development of an NLP-driven search engine with sub-second latency and automated ML testing pipelines. More recently at InstaDeep, I've been pushing the boundaries of neural control systems for industrial applications. Currently, I’m pursuing a Master’s in Artificial Intelligence and Advanced Visual Computing at École Polytechnique, deepening my expertise in reinforcement learning, 3D perception, and large-scale language models. I'm passionate about solving real-world problems with AI, blending research with production-ready engineering, and staying hands-on with Python, PyTorch, TensorFlow, and AWS. Let’s connect if you’re interested in AI research, scalable ML systems, or industrial applications of reinforcement learning.

Experience

Instadeep

AI Researh Engineer

Apr 2025 – Sep 2025 · 5 mos · Paris, Île-de-France, France · On-site

At InstaDeep, I worked as an AI Research Engineer Intern focusing on applying reinforcement learning and neural control techniques to industrial bio-chemical processes.
📈 Boosted prediction accuracy by 20% over baseline models by developing neural network-based system identification models for bio-reactor dynamics.
🧠 Integrated Model Predictive Control (MPC) with learned dynamics models, reducing environment interactions by 30% and making policy training significantly more data-efficient.
🛠️ Conducted end-to-end pipeline development for simulation, training, and evaluation, combining deep learning, control theory, and reinforcement learning in a production-scale research environment.
🤖 Worked in close collaboration with research scientists and engineers on scalable deployment strategies for RL-based control policies.
Technologies/Frameworks: Python, PyTorch, MPC, Reinforcement Learning, System Identification, Neural Networks, NumPy, Scikit-learn.

PythonPyTorchMPCReinforcement LearningSystem IdentificationNeural Networks+2

Dassault systèmes

Software Engineer intern: Artificial Intelligence

Mar 2024 – Sep 2024 · 6 mos · Paris, Île-de-France, France · On-site

●Worked as a software engineer intern at Dassault Systèmes in the CATIA organization of the company.
●Worked on developing NLP based AI model which can make sense out of the existing Human activities database of the company. These models will be used in the future for multiple purposes including NLP based search engine.
●Developed automated machine learning based tests to setup a quality check pipeline for all future AI models that are used within this application.

Amazon

Software Development Engineer

Jul 2021 – Mar 2023 · 1 yr 8 mos · Hyderabad, Telangana, India · On-site

At Amazon, I engineered scalable front-end and backend solutions for high-impact e-commerce services on the Value Added Services (VAS) platform.
🚀 Reduced page latency by 80% and fixed long-standing load-time errors through front-end optimization and backend performance tuning.
💼 Designed and deployed a new seller-facing UI, enabling over 10,000 sellers to manage geo-specific pricing for their products.
💰 As the Peak Point of Contact (POC) for Prime Day, I led service monitoring and hardware optimization, reducing AWS infrastructure costs by 33% (~$20K per event).
🔧 Improved operational excellence by identifying and resolving critical performance bottlenecks in production services.
Technologies/Frameworks: Java, AWS, Maven, Front-end Optimization, Distributed Systems, Service Monitoring.

JavaAWSMavenFront-end OptimizationDistributed SystemsService Monitoring

Nucleus software

Software Engineer

Jan 2021 – Jul 2021 · 6 mos · Noida, Uttar Pradesh, India · Hybrid

At Nucleus Software, I focused on NLP-driven feature development to enhance user experience in financial software products.
✍️ Prototyped a predictive text feature for mobile, leading to an 89% increase in comment speed through contextual suggestions.
🧪 Ran extensive A/B testing, resulting in a 40% reduction in typing errors and a 15% boost in user satisfaction scores.
📲 Worked closely with UX teams and backend engineers to integrate the NLP models seamlessly into the production app.
Technologies/Frameworks: Python, NLP, A/B Testing, Mobile Development, UX Engineering.

PythonNLPA/B TestingMobile DevelopmentUX Engineering