Headline

Software Engineer @ Zyrix.AI | Engineering the Future with Generative & Agentic AI

About

Driven and dedicated Software Engineer with expertise in Machine Learning, Generative AI, retrieval-augmented generation chatbots, and RESTful API development. Skilled in building and optimizing AI-powered solutions that leverage state-of-the-art large language models to deliver highly accurate, context-aware responses. Proven track record in designing scalable systems, implementing document retrieval solutions, and collaborating seamlessly within diverse teams. Technical Proficiencies: Languages & Libraries: Python, SQL, Pandas, NumPy, Seaborn, Matplotlib, PySpark, Scikit-learn, Keras, TensorFlow, Transformers. Data Visualization & Tools: Matplotlib, Seaborn, Ploty, Power BI AI & ML Skills: Machine Learning, Deep Learning, NLP, Generative AI, LLMs, Langchain, RAG, Langchain, Playwright, crawl4ai, chromadb, opencv, Gemini, OpenAI GPT, Nvidia, Claude, Ollama, huggingface. etc. Version Control & Collaboration: Git, GitHub, VS Code, Jupyter Notebook, Google Colab Deployment: FastAPI, Flask. Projects: 1. AI-Powered Chatbot Development: Developed chatbots with RAG techniques and LLMs for document and web-based queries, enhancing user engagement and system responsiveness. MCQ Generator Web App: Built an interactive web app using OpenAI's GPT-3.5-turbo model, facilitating automated MCQ generation. 2. AI-Powered Multi-Agent Automation Testing System, Kitap. Developed an AI multi-agent system for end-to-end automated testing of web applications using advanced LLMs and custom agents. 3. Built an AI-powered test data generation system that takes sample input and produces unlimited, diverse test data for web application testing. 4. Built an NLP-powered data analysis agent that answers complex questions in natural language using both relational database data and requirements documents enabling deep data insights into data. 5. Developed a face recognition system capable of training on large datasets to detect and identify individuals by name in real-time. Explore my work on GitHub: github.com/adnanbaig9637

Location

Amravati

Work experience

Software Engineer at Zyrix, Apr 2026 - Present · 3 mos, Hyderabad

Associate Software Engineer at Kairos Technologies, Nov 2025 - Present · 8 mos

Software Engineer Trainee at Kairos Technologies, Aug 2024 - Nov 2025 · 1 yr 4 mos, Hyderabad, Telangana, India, AI-Powered Multi-Agent Automation Testing System: Contributed to Kitap platform by developed an AI multi-agent system for end-to-end automated testing of web applications using advanced LLMs and custom agents. Designed intelligent agents that 1. Analyze web applications from URLs and supporting documents to generate functional overviews and requirements. 2. Generate manual test cases with complete details including preconditions, test steps, expected results, and test data. 3. Produce BDD-style Gherkin test cases for human-readable documentation and stakeholder collaboration. 5. Convert manual test cases into fully executable test cases, ready to run on test automation frameworks. 6. Reduced manual testing efforts by ~80% and Minimized human interaction by ~85% by automating the entire test generation lifecycle. Data Analytics AI Agents: Contributed to DQG platform by developed an NLP-powered data analysis agent that answers complex questions in nnatural language using both relational database data and requirements documents enabling deep data insights into data. 1. Implemented anomaly detection and automated reasoning over large-scale enterprise data. 2. Developed Apache Spark based row-wise data comparison system optimized for large datasets using distributed Spark clusters. 3. Integrated with multiple databases including MySQL, PostgreSQL, Snowflake, Databricks, and Azure SQL to ensure cross-platform compatibility. Test Data Generation System: 1. Built an AI-powered test data generation system that takes sample input and produces unlimited, diverse test data for web application testing. 2. Enabled generation of realistic and varied datasets to simulate edge cases, improve test coverage, and reduce manual test data creation. 3. Accelerated QA workflows by leveraging AI to generate structured and unstructured test data across different formats and domains

Data Science Intern at Innomatics Research Labs, Jan 2024 - Apr 2024 · 4 mos, Hyderabad, Telangana, India, Engaging in a dynamic internship at Innomatics Research Labs, where I actively contributing to real-world data science projects and data analysis projects. Collaborating with experienced professionals to apply statistical analysis, machine learning algorithms, and data visualization techniques. Gaining hands-on experience in data preprocessing, model building, and interpreting results, furthering my practical skills in the realm of data-driven decision-making. Developing a deep understanding of leveraging Python, SQL, Statistics, EDA, Numpy Lib, Pandas Lib, Matplotlib Seaborn Lib, and other tools to extract insights from complex datasets, enhancing my proficiency in the field of data science.

Internship Trainee at Adani Dahanu thermal power station, Feb 2022 - Mar 2022 · 2 mos, Dahanu, Maharashtra, India, I have completed one month online internship program organised by Adani Dahanu Thermal Power Station.

Internship Trainee at Hero MotoCorp, May 2019 - Jul 2019 · 3 mos, Paratwada, Maharashtra, India, I have completed internship program at Shree Sainath Hero Motor Corp Paratwada in the workshop dept and sales dept.

Education

Certificate Course, Data Science, Innomatics Research Labs

Bachelor of Engineering - BE, Mechanical Engineering, Prof. Ram Meghe Institute of Technology & Research Badnera Rly.