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Vetted Keras Professionals
Pre-screened and vetted.
Junior Software Engineer specializing in full-stack development and applied AI
Intern Data Scientist specializing in LLM agents, RAG, and real-time ML pipelines
Mid-level Data Scientist specializing in GenAI, MLOps, and computer vision for robotics
Mid-Level Full-Stack Software Engineer specializing in healthcare web apps and LLM integrations
Junior AI/ML Engineer specializing in LLMs, RAG, and applied NLP
Entry-Level Data Scientist specializing in machine learning, NLP, and cloud analytics
Mid-level Machine Learning Engineer specializing in MLOps, NLP, and Computer Vision
Junior Full-Stack Developer specializing in FinTech and backend APIs
Junior Machine Learning Engineer specializing in healthcare and IT analytics
Mid-level Data Scientist specializing in ML, NLP, and Generative AI
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Junior Data Systems Analyst specializing in ML, NLP, and cloud deployment
Entry-level Machine Learning Engineer specializing in LLMs, RAG, and data pipelines
Mid-level AI/ML Engineer specializing in Generative AI, NLP, and RAG systems
Junior Machine Learning Engineer specializing in Generative AI and LLM agents
Mid-level AI & Data Science professional specializing in MLOps, deep learning, and UAV research
Mid-level AI/ML Research Engineer specializing in NLP, LLM agents, and multimodal systems
Mid-level AI/ML Engineer specializing in GenAI, agentic AI, and RAG pipelines
Junior Full-Stack Developer specializing in Django/React and cloud-native APIs
Md Rifat Ullah
Mid-level AI/ML Engineer specializing in NLP, GenAI, and conversational AI
“Built and deployed a production bilingual (Bengali/English) AI virtual assistant that replaced IVR for telecom customer service at massive scale (~15M users), integrating ASR/TTS, Rasa dialogue management, and custom NLP. Overcame low-resource Bengali data and noisy call-center audio with synthetic data augmentation and transformer fine-tuning, achieving significant production gains including ~50% reduction in support calls.”
Muhammad Murtaza Murtaza
Mid-level Machine Learning Engineer specializing in NLP, Computer Vision & Predictive Analytics
“Built a production LLM fine-tuning pipeline for domain-specific code generation at Pigeonbyte Technologies, including automated collection and rigorous quality filtering of 10M+ code samples (AST validation, sandbox execution/testing, deduplication, drift monitoring, and human-in-the-loop review). Also implemented end-to-end ML orchestration in Apache Airflow with data quality gates, dataset versioning in S3, benchmarking, and automated model promotion, and has a reliability-first approach to agent/workflow design.”
Deepthi Salunkey
Mid-Level Full-Stack Software Engineer specializing in web apps and APIs
“Hands-on technical/product-facing engineer with experience operationalizing LLM/agentic workflows and debugging them in real time using logs, traces, and metrics. Also supports go-to-market by running developer-focused live coding demos and partnering with sales on discovery and integration/maintainability concerns through clear technical documentation.”
ABHIGNAN YANGANGARI
Junior Full-Stack Software Engineer specializing in Java/Spring Boot and React
“Full-stack engineer who built a lost-and-found pet management platform (React + Node/Express + SQL) with a focus on scalability (stateless JWT auth, modular REST APIs, cloud-based image handling) and performance (Artillery load testing, Chrome DevTools, query/index tuning). Also demonstrates systems-thinking around low-latency real-time voice pipelines integrating WebSockets, ASR, LLMs, and audio output, and has experience translating founder input into shippable product via rapid prototyping.”