Hire the Top 2% of
Remote Deep Reinforcement Learning Developers

Teodor T.

Vetted Deep Reinforcement Learning developer in Romania (UTC+3)

I am a passionate data scientist with several years of experience in the industry, having previously graduated from Queen Mary University of London with a MSc. in Big Data Science. My specialty is deep learning, with a focus on natural language processing (NLP). I am a Microsoft Certified Azure AI Engineer and additionally I have successfully completed a 6-month deep learning specialization offered by leading AI engineer Andrew Ng. I have a CS background and I am constantly increasing my theoretical understanding of ML techniques and computing environments.

Brian Y.

Vetted Deep Reinforcement Learning developer in the United States (UTC-7)

*****General profile***** Hello! ex-Amazon engineer here. I have 5+ yoe in fullstack development and 1.5 yoe in AI engineering (JS and Python) I have both worked at startups building products from the ground up and big tech building large-scale distributed systems. With my unique blend of fullstack and AI expertise, I'm confident I can bring your next product to success! *****Tutor profile***** As an ex-Amazon engineer, I came from a non-CS background and eventually broke into big tech. I have also conducted numerous interviews at Amazon, so I know the secret to cracking the coding interviews. With a solid coverage of DSA fundamentals and uniquely curated list of questions from past FAANG interviews, many of my students were able to land jobs at FAANG companies. So whether you are a student or a seasoned engineer, I'm happy to help you land your next dream school/job! I'm currently an independent AI researcher offering tutoring with a part-time capacity at a discounted rate! Therefore, this opportunity may not be long! *****Tech stacks***** Proficient in Python, JavaScript, React, Vue.js, MySQL, PostgreSQL, MongoDB, PyTorch, Scikit-Learn, AutoML,OpenAI, LLM, Langchain, RAG. Look forward to collaborating with you!

Lech B.

Deep Reinforcement Learning developer in Poland (UTC+2)

As a highly skilled and experienced professional with a Master’s degree in Liberal Arts in Data Science, I excel in data-driven decision-making. With expertise in automation of data acquisition, data analysis, predictive models, image analysis/classification, and language models, I am well-versed in harnessing the power of big data to drive strategic insights and outcomes. My passion for data flows through my veins, and my keen eye for numbers allows me to decipher complex patterns and trends and provide context and support for your informed decisions. As a specialist in difficult matters, I thrive in challenging situations and possess a proven track record of solving complex problems efficiently. I believe in the value of active listening, ensuring that I fully understand the nuances of any situation before offering strategic solutions. My expertise in leveraging cutting-edge technologies, deep understanding of data-driven decision-making, and education from the Faculty of Arts and Sciences of Harvard University make me a valuable asset in any business environment.

yanzhong G.

Deep Reinforcement Learning developer in China (UTC+8)

15 years of experience in machine vision, image algorithms, and deeplearning,specializinginroboticvisionanddefectdetection. AlgorithmLeadatasurgicalroboticscompanywithdeepexpertise infoundationaltechnologies. Proficient in mainstream algorithms and network architectures, achievingexcellentresultsinvariousvisionprocessingprojects.

Rob S.

Vetted Deep Reinforcement Learning developer in the United States (UTC-5)

Howdy! I'm Rob and I solve problems. ✅ I am a startup founder and entrepreneur, career long startup technical leader (early employee at Twilio, Boxee and many others) and full stack developer with 15 years of Python, the last 7 of which in machine learning and artificial intelligence. My favorite problems are short term, high impact challenges that yield new valuable insight, automate the previously impossible or transform your customer's success. As a racing driver, I love bringing urgency and speed to all adventures on and off track. Skills and Experience: 🤖 Extensive production use of state-of-the-art large language models (LLMs) like GPT-4o/o1/o3-mini, Gemini Flash 2.0, DeepSeek R1, Llama 3, Claude 3.5 Sonnet/Opus, Mistral, and Qwen. 👷 Deployed AI projects with frameworks like LangChain, LlamaIndex, Claude Computer Use 🗿 Custom modeling using training, fine tuning, reinforcement learning, Hive, Scale, Databricks and more 🤹 Multi-agent solutions with Claude Computer Use, CrewAI, Agno, OpenAI Swarm and LangGraph 📡 Data collection and web scraping in adversarial conditions using Scrapy, AgentQL, BrowserBase, captcha solving, bot evasion 👀 Proven computer vision experience with OpenCV, YOLO, Stable Diffusion, Flux and more 💰 Driven significant reduction in token consumption, training and inference compute with fine tuning, quantization, Langtrace, Unsloth, OpenRouter, and NotDiamond 🎱 Discovering new insights with data visualization, matplotlib, SeaBorn, D3, billboard.js, 🚚 Delivering full stack production software with Python, Vue 3, JavaScript / TypeScript, Next.js, Nuxt.js, Tailwind, and more 📼 Production experience with Postgres, MySQL, Pinecone, LanceDB, MongoDB, BigQuery, DynamoDB, Firebase, Snowflake, or Clickhouse 📞 Deep experience in voice platforms Twilio, Vonage, AssemblyAI, ElevenLabs, and Gemini Realtime ☁ Deploy to AWS, GCP, Azure, DigitalOcean, Linode, or rack and stack your own gear Achievements: 🔔 Took Twilio's developer GTM from 13k developers to 1.7 million - Series A to ringing the bell at the NYSE 🏆 Transitioned Darpa Memex project Tellfinder with District Attorney of New York 🤑 CTO of first startup (BZ Results) acquired by ADP for $125M ⚾ Earned $3.9k with custom fantasy baseball bot Community: 🎤 Speaker at dozens of conferences internationally, US, UK, CA, France, Germany, Czech Republic, Spain, Ireland, Portugal, China, India 💻 Multiple hackathon winner and organizer like Music Hack Day, Game Hack Day, TechCrunch Disrupt, and more 🏁 Autocross and spec Miata driver, driver in first team to cross the United States in under 24 hours Let's prototype fast, iterate quickly and ship solutions now. What problem are you trying to solve?

Krishna V.

Vetted Deep Reinforcement Learning developer in the United States (UTC-5)

I am an experienced ML/AI/DL Engineer with a strong foundation in data analysis, machine learning, and predictive modeling, specializing in extracting insights from large, complex datasets using advanced tools like Python, Spark MLlib, and SQL. I have a passion for solving business problems through data-driven solutions, with expertise in NLP, deep learning, and model optimization. Looking ahead, my career aspirations involve further exploring AI-driven innovations and contributing to impactful projects, particularly in machine learning and AI applications, while advancing my skills in cloud technologies like AWS and Azure for scalable model deployment.

Aayush A.

Deep Reinforcement Learning developer in India (UTC-8)

Hi, I’m **Aayush Agrawal**, a **Lead Machine Learning Engineer** with **7+ years of experience** developing innovative solutions in **NLP/LLMs**, **reinforcement learning**, and **computer vision**. I thrive on building scalable machine learning models to solve real-world challenges across industries like **EdTech**, **transportation**, and **FMCG**. **What I Do** * **NLP & LLMs**: Built multi-task NLP models (summarization, Q&A) using **LoRA** to optimize massive 11B-parameter models. Created a grammar correction model trained on **40M+ data points**. * **Optimization & Efficiency**: Reduced logistics costs by **15%** (~1M INR/day) with RL-based LineHaul solutions. Delivered shrinkage detection for retail using **YOLOv5** and SORT algorithms. * **AI Solutions**: Developed **TinyLlama** to classify academic answers, a chatbot using **LangChain**, and speech-to-text models with a WER of **9%**. **Skills** I specialize in **Python**, **TensorFlow**, **PyTorch**, **Docker**, **Kubernetes**, and cloud platforms like **AWS** and **GCP**. I’m passionate about creating seamless, end-to-end ML pipelines that make an impact. **Let’s Connect** If you're looking for someone to design, build, and deploy cutting-edge ML solutions, let’s connect!

Muhammet P.

Vetted Deep Reinforcement Learning developer in the United States (UTC-4)

My summary is as follows: \- 7 years in team management including 5-70 members of teams including top-level managers \- Excellent track record of bridging the gap between technical teams & executives and the ability to translate business initiatives into technical requirements. \- 6 years as a Professional Data scientist including senior level, team lead, and chief data scientist \- 5 years of consultancy to provide visibility and insights into key business issues. \- 6 years in Business Analytic Projects (customer journey, customer target selection, online pricing, target selection, recommendation engine). \- 5 years of experience with Extract Intelligence from Data using Data Preprocessing, EDA (Explorative Data Analysis) \- 7 years of deep theoretical and practical knowledge of Machine Learning (ML) Algorithms \- 12 years of Solid Experience in Computer Vision (CV) (object detection, Background / Foreground Subtraction, Object verification, Counting objects). \- 11 years in Research and Development (R&D) including e-commerce, defense, finance, and telecommunication industry. \- 10 years in Software Programming as a Professional developing algorithm (C, C++, Python, MATLAB) \- 6 years of experience in Deep Learning (DL) using FRCNN, InceptionV3, and CNN mask architecture for Computer vision projects. \- 3 years of Sequential Modelling using DL based approach (LSTM, GRU), Statistical Approach (Arima, Sarima), and Graph-Based approach (Markov chain, finite state space modeling) for (NLP, sales forecasting) \- 4 years in Time serial analysis from data processing (lead, lag insertion using auto-correlation analysis) to developing models (with evaluation by comparing persistence model, moving average model, and Gaussian smoothing) \- 6 years of fluent Tensor Flow, Keras, pandas, and scikit-learn experience \- 4 years of experience in Agile development methodologies with emphasis on Scrum. \- 1-year experience in Reinforcement Learning using DQN (Deep Q Network), cross-entropy method with MLP \- 3 years in Machine Learning (ML) applications for Wireless Communications: Signal Detection, Channel Estimation, Channel Encoding-Decoding, and Resource Allocation. \- 4 years in Big Data, Cloud Computing, and NoSQL Databases \- Excellent record of accomplishment in defining, designing, developing, and implementing phenomenally successful automated and deployed solutions. \- Strong interpersonal, written, and verbal communicator who can deliver effective presentations and maintain collaborative relationships. Muhammet Pakyurek +1(319)259-3907 mpak85@hotmail.com

Fernando M.

Deep Reinforcement Learning developer in Dominican Republic (UTC-4)

I have extensive experience in quantitative mI’m a Data Scientist and Machine Learning Engineer working in multiple applications and getting the best insights out of data, the 21st Century gold. I enjoy turning complex problems into simple, practical, innovative, and impactful solutions. My job is to create end-to-end Machine Learning products alongside performing hands-on data analyses over enormous datasets toward detecting patterns and inducing better data-driven decision making. With over 6 years of industry experience, I have applied quantitative analysis, experiment design, and develop machine learning models for diverse business solutions. Throughout this experience, I have had the opportunity to design and create models that are helping organizations manage risk behavior profiles, reduce tax gaps, and build advanced analytical engines for forecasting and detecting deviations from unstructured information., and conducted exploratory variable research.

Gopal C.

Vetted Deep Reinforcement Learning developer in the United States (UTC-4)

I am [Gopal Chitalia](https://scholar.google.com/citations?user=QncMQEIAAAAJ&hl=en), a graduate student at Purdue University and working with Prof. [Jan Anders Mansson](https://www.purdue.edu/engineering/mdlab/mansson/) on fault detection in motors using deep learning in a joint project with Wistron. Additionally, I'm working with Prof. [Junjie Qin](https://engineering.purdue.edu/people/junjie.qin.1) on transfer learning application using LLMs for optimizing power networks. I have had the privilege of working at [Center for Building Science Lab](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcbs.iiit.ac.in%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UCjKsb98EbNq8jGvbf%2F5TEETyHMI1gnMx20lLBeQmog%3D&reserved=0) under the supervision of Prof. [Vishal Garg](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.co.in%2Fcitations%3Fuser%3DvyH26MIAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=pDBa4RZtT0eg4rN%2FdvVtv3q%2F6goK1EEVT6%2F6UeGPcw4%3D&reserved=0). I have previously been a Research Assistant/Visiting ML Scholar at the [Smart Grid Research Unit](https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fwww.sgru.eng.chula.ac.th%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=UAp49aqIF2oxM3WIO5IS68gTyMLeYsKR5ENaosJMhvk%3D&reserved=0) (SGRU) under [Manisa Pipattanasomporn](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fscholar.google.com.sg%2Fcitations%3Fuser%3D4W2KIQkAAAAJ%26hl%3Den&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Pey86yYp3KpRPj9d9a97nzxLxQGMkQrN%2BFASqUqyheQ%3D&reserved=0) (Adjunct Faculty, Virginia Tech). In addition to my academic pursuits, I have also contributed to the industry in the domains of Energy Efficiency, IoT, and Machine Learning. I have worked at [ClevAir](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fclevair.io%2Fen%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=nonCkudNp3cFUL2CNs6rMHm0HyQXSnh9lhoJ76s5xus%3D&reserved=0) (Norway) as a **Data Scientist** and Growthworks.ai (CA, USA) as an **ML Scientist/Energy Demand Expert**. My research work on predicting short/long-term energy prediction in office/residential buildings using machine learning is published in [Applied Energy](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.sciencedirect.com%2Fscience%2Farticle%2Fabs%2Fpii%2FS0306261920309223%3Fvia%253Dihub&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=V%2Bq5MVSeJ7deNpE%2F%2FEP1PYrsrEVWEH%2FwNK1yAG4CPlM%3D&reserved=0). The results improve the state-of-the-art results by 20-40%. I am also an active reviewer at Applied Energy. Furthermore, I have collaborated on a building-level dataset paper which has been published in [Nature Scientific Data](https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.nature.com%2Fsdata%2F&data=05%7C01%7Cgchitali%40purdue.edu%7C9ca93da4ba36440447b708db86ccdfe0%7C4130bd397c53419cb1e58758d6d63f21%7C0%7C0%7C638251986720958299%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=rtv6fVxtvuYsk5NAwwR8ujauC1AfX9cs32w4evIj%2BZU%3D&reserved=0). Previously, I have also worked with Prof. [Jyotirmay Mathur](https://scholar.google.co.in/citations?user=AmGPPL4AAAAJ&hl=en) at the [Centre for Energy & Environment](http://www.mnit.ac.in/dept_cree/index.php), MNIT Jaipur on Predicting time ahead heating/cooling energy demand HVAC systems. Moreover, as an independent research student, I also collaborated with Prof. [Praveen Paruchuri](https://scholar.google.com/citations?user=ILUqgKEAAAAJ&hl=en) of [Machine Learning Lab](https://mll.iiit.ac.in/), IIIT-H for Reinforcement Learning (RL) applications for controlling HVAC systems.