Meenakshi Yadav

Innovative AI and Data Engineering professional, adept at breaking down complex tasks and collaborating with stakeholders. Proficient in leveraging modern AI/ML technologies—including LLMs, embeddings, and fine-tuning—while ensuring robust code quality, secure deployments, and responsible AI practices. Committed to continuous improvement through automation, telemetry integration, and rigorous quality assurance, to deliver scalable, high-performance solutions.

• No-Code Automation Implementation
• Programming: C, C++, Java, Python
• Databases: SQL (MySQL, PostgreSQL), NoSQL, and Data Warehousing
• AI/ML Libraries: PyTorch, Pandas, NumPy, LLMs, vector embeddings, orchestration patterns (e.g., RAG), TensorFlow, Scikit-Learn, Hugging Face
• Database management: data warehousing, data modeling, data mining, and data analysis
• Artificial intelligence: machine learning, natural language processing, deep learning, regression analysis
• Problem-solving
• Technical Report Writing
• Data Engineering: Apache Spark, Hadoop, ETL, and data pipelines (shell, Kafka, Airflow), RDBMS, Linux (shell scripting)
• Cloud & DevOps: AWS (S3, EC2, AWS SageMaker), Google Cloud, CI/CD, Automation
• No code, low code tools: Voiceflow, Pinecone, Vapi, and generative AI frameworks, KNIME, RapidMiner, Make, Ikigai, and Teachable Machine
• Business Intelligence: Google Looker, IBM Cognos Analytics, Power BI
• Other Skills: SEO, Web Development, Project Management, JIRA, Debugging, ChatGPT
• Microsoft Excel and PowerPoint
• Interpersonal communication

• LinkedIN: www.linkedin.com/in/meenakshi-yadav-2oo5
• Github: https://github.com/meens-dev
• Google Scholar - Meenakshi Yadav (https://scholar.google.com/citations?hl=en&user=EhVPYTkAAAAJ)
• ORCID - Meenakshi Yadav (https://orcid.org/0009-0000-7159-1176)
• Scopus Author ID: 58833421000

• Harnessing artificial intelligence to empower HR processes and drive enhanced efficiency in the workplace to boost productivity (Outcome: research paper published in International Scopus Journal) February 2023 - May 2023.
• Artificial Intelligence-based system for HR functions to boost productivity (Outcome: Patent at the Indian Patent Office) February 2023 - May 2023.
• Unveiling novel approaches to machine learning optimization for circularly polarized antennas tailored for 5G communication (Outcome - research paper published at IEEE) February 2024 - May 2024.
• Data Analytics in Education: Enhancing Student Learning Outcomes (Outcome - Research Paper Published at IEEE), December 2024.
• Smart Road Segmentation from Aerial Images (Outcome: Research Paper Published at IEEE), July 2024

• No Code AI and Machine Learning: Building Data Science Solutions (MIT)
• Generative AI and Machine Learning (IIT Kanpur)
• AWS Cloud Solutions Architect Professional Certificate
• IBM Data Engineering Professional Certificate
• IBM Business Intelligence (BI) Analyst Professional Certificate
• Advanced Machine Learning on Google Cloud Specialization
• Data Warehousing and Business Intelligence (University of California, Irvine)
• Business Intelligence and Analytics (NPTEL Swayam)
• Analytics for Decision Making (University of Minnesota)
• Introduction to Data Science (IBM)