Hire the Top 2% of
Remote Generative Networks Developers

Tanisha B.

Vetted Generative networks developer in India (UTC+6)

6 years of experience in building and managing AI Systems. * I develop end-to-end AI systems from requirements analysis, and data gathering to deployment, implementing new methods/research papers, and turning projects into research outcomes. I have achieved substantial performance in DL/ML/RL models for CV and NLP domain problems. * Implementing and deploying projects handling and maintaining scalability, research papers as well as POCs. * Project planning, requirements gathering, and analysing requirements to define the system's architecture, and implementation timeline. * Provide mentoring to junior developers for ML projects. Website: [roshantanisha.github.io/?ref=codementor](http://roshantanisha.github.io/?ref=codementor) Summary: I like to work on technology that is smart, simple and sophisticated. This sums up the vast knowledge required to work on projects to excel in a working product. I like to train Deep Neural Networks and understand them well. I have mentored many students for their AI careers, teaching them Machine Learning and Mathematics. I am a mentor for the RFS (Reach for the Stars) Programme by the Aga Khan Education Board for India. I am an alumnus of this program as well. I have a cumulative experience of 6 years working in the product and service-based industry for creating Machine Learning projects. I have done some innovative work that I am proud of and am continuing to do so. I try my best to contribute my expertise to the project I am working on. Highly Experienced in Machine Learning, Deep Learning, Advanced Deep Learning, Artificial Intelligence, and Algorithms, including models in the production environment, and deploying ML models. Working with top Indian colleges like BITS, niche NLP and CV, real-estate startups, MNCs, and Fortune top 20 companies, working with sensitive anonymized datasets, and creating state-of-the-art models are some of my achievements. I have strong and correct knowledge of Deep Learning concepts from the above experiences.

Sumit K.

Generative networks developer in India (UTC-7)

As a Machine Learning Engineer at Ascendion, I develop cutting-edge NLP solutions using deep learning algorithms and large language models (LLM). I have worked on projects such as a QA chatbot using LLM (GPT, Llama2, WizardLM) and a vector database for efficient document storage, demonstrating my ability to apply innovative techniques to real-world problems. I have over 5 years of experience in Machine Learning, having previously worked at Reliance Jio and Tata Consultancy Services, where I performed exploratory data analysis, feature extraction, and model development for in-vehicle data of faulty parts. I am proficient in Python, Pytorch, Scikit-Learn, and various ML algorithms and frameworks. I also hold a Bachelor of Engineering degree in Electronics and Telecommunication Engineering from Smt. Kashibai Navale College of Engineering, where I acquired a solid foundation in electronics engineering. I am passionate about learning new technologies and staying updated with the latest trends and developments in the field of Machine Learning and NLP. I am always eager to collaborate with other professionals and contribute to the success of the organization. Let's connect and discuss how I can leverage my skills and expertise to add value to your team and projects.

Jobin T.

Generative networks developer in the United States (UTC-5)

I am an energetic Machine Learning Engineer with 8 years of machine learning and data science experience at Superior Data Science LLC, S&P Global, Citigroup Data Science, Bell Flight, and UTSW Neuroscience. I excel in team environments, finance expertise, and integrating artificial intelligence. I am eager to partner with and lead a forward-focused organization to enhance its data science and deliver actionable insights from machine learning and mlops

Muhammad B.

Vetted Generative networks developer in Pakistan (UTC-5)

Results-driven AI Engineer & Data Science Consultant with 3+ years of experience delivering impactful AI solutions at IBM Consulting in the MEA region. Specialties Include: developing production-grade generative AI systems, machine learning pipelines, deep learning architectures, LLM fine-tuning, AI integrations, cloud-native AI deployments (AWS, Azure), and customer experience optimization.

Jonas R.

Generative networks developer in Brazil (UTC-3)

**Accomplished Infrastructure Engineer with over six years of experience delivering high‐quality, scalable, and reliable IT solutions.** Proven expertise in Infrastructure Engineering, Solutions Architecture, SRE, and DevOps, with a strong trackrecord of designing, provisioning, and maintaining secure systems. Possessing a deep understanding of various industries, including information, retail, and transportation, Jonas has successfully executed projects of varying scope andcomplexity. Currently expanding his skillset in AI and Machine Learning, Jonas is proficient in architecting Generative AI projects while leveraging these technologies to optimize Infrastructure, SRE, and DevOps workflows.

Rob S.

Vetted Generative networks 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?

shankar K.

Vetted Generative networks developer in India (UTC+6)

· Over 18 years of experience in software development including leadership roles in **Project Management, Architecture Design, Research & Innovation** · More than 12 years of experience in leading and implementing data analytics using descriptive, predictive, and prescriptive analytics across diverse domains, including **Telecom, Finance, Customer and Marketing Analytics, as well as Network and Cybersecurity analytics** · **Master’s** in data science and engineering from BITS Pilani · Extensive hands-on experience in leveraging **Business Intelligence, Big Data tools Statistical Models, Machine Learning, Deep Learning, NLP techniques, Large Language Models (LLMs), Forecasting Techniques, Recommendation systems, and Graph Analytics** to deliver innovative and data-driven solutions · Hand-on experience in multiple programming languages like **C, C++, Java, Scala, Golang** and Proficient in **Python** · Hands-on experience with data science frameworks and tools, including **Spark, Scikit-learn, TensorFlow, PyTorch, Lang Chain, OpenLLM, Vertex AI, Azure AI, and AWS Sage Maker** · Spearheaded **Advanced** **Research & Innovation,** developing proof-of-concepts **(POCs)** to solve complex business challenges · Designed and implemented Generative AI applications using **LLMs**, **RAG systems** with **Lang Chain** Framework and **Prompt Engineering** · In-Depth understanding of state-of -the-art language models (LLMs) and architectures, training and fine-tuning methodologies · Deployed scalable End to End Big data AI/ML solutions in **AWS/GCP** cloud and on-prem Infrastructure, leveraging Containerization Technologies (**Docker, K8S**), **ML Ops**, and **CI/CD** automated pipelines to deliver enterprise-grade solutions · **Built, led and mentored** a high-performing Data Science Team, fostering a culture of innovation and continuous learning · Literature review, workshops, conferences and publish papers · Published my research as chapter in Rever Publishers: **Implementing Enterprise Cyber Security with Open-Source Software and Standard Architecture: Volume II**

Andrew F.

Vetted Generative networks developer in the United States (UTC-5)

A software developer and system architect with a wide variety of experience including web app development, generative AI, and system design.

Maksym M.

Vetted Generative networks developer in the United States (UTC-8)

Sr. Software Engineer and Team Lead with 10+ YoE designing and developing software solutions of fin-tech, blockchain, social media and web-based applications. Established client-server and server-server infrastructure, including CI/CD processes using Github Ci/CD, Jenkins and Helm. Managed dashboards for real-time data and analytics using Angular and React + Grafana/Prometheus/NewRelic. Raised projects standards focusing customer success. Built products from scratch, implemented across 20+ projects with up to 80-85% test coverage using Jest. Developed optimized technical architectures, enhancing user engagement and reducing system failures. Aims to utilize proven technical and collaborative leadership skills to innovatively build scalable products aligning with business objectives.

Gregorio R.

Vetted Generative networks developer in the United States (UTC-7)

A hands-on Chief Technology Officer with **25 years** of experience in software development and technical leadership. I combine deep technical expertise with strategic vision, actively coding while leading teams and driving AI innovation. * Currently pioneering AI solutions including LLM integration, RAG systems, and Computer Vision and audio implementations * Extensive experience delivering successful MVPs across enterprise, startup, and regulated environments * Expert in full-stack development (.NET Core, JavaScript/TypeScript, React) and cloud architecture (AWS/Azure) * Diverse industry experience spanning real estate, education, social media, healthcare, and eCommerce * Proven track record of scaling engineering teams while maintaining technical excellence and delivery quality