Headline

Senior AI/MLOps Leader | Building Intelligent Systems at Scale | Former IBM, CitiusTech, Zumen , Orion & Zoho | Tech Evangelist, Mentor & Career Strategist | Driving Innovation & Team Excellence

About

I’m Tanisha Medewala, aka tanθ - a passionate and innovative AI Engineer with over 8+ years of experience in designing, developing, and deploying intelligent solutions. My expertise spans machine learning, deep learning, NLP, GenAI, and MLOps, with hands-on proficiency in backend technologies, cloud platforms, and infrastructure automation. I have contributed to impactful projects at leading organizations including Fractal Analytics, IBM, CitiusTech, Zumen Software, Orion India Systems, and Zoho Technologies. My roles have involved building scalable AI systems, leading cross-functional teams, and driving innovation in healthcare, finance, retail, and technology sectors. I hold a Master’s in AI & ML from Liverpool John Moores University (UK), along with PG Diplomas in Cloud Computing and AI & ML. I am deeply committed to mentoring and guiding aspiring professionals, having worked with various edtech platforms to evaluate assignments, support career growth, and foster alumni connections. As an evangelist for AI and technology, I enjoy experimenting with new software, sharing knowledge, and helping others navigate their learning journeys. I am open to directorship and senior leadership opportunities where I can shape strategy, mentor talent, and deliver transformative results. KEY SKILLS - Strategic Leadership & Team Mentoring - Advanced AI & Machine Learning Solutions - Deep Learning & Natural Language Processing - AgenticAI, GenAI, LLMOps & MLOps Implementation - Cloud Architecture (Azure, AWS, IBM Cloud) - Backend Engineering - Data Engineering & Analytical Visualization - Agile Project Management & Collaboration - Career Guidance & EdTech Mentorship - Innovation Evangelism & Alumni Networking TECH SKILLS - Languages: Python, Java, R - Frameworks: TensorFlow, Keras, Scikit-learn, XGBoost, Spacy, Gensim, NLTK, OpenCV, Langchain - Cloud Platforms: Azure, AWS, IBM Cloud - Infrastructure as Code: Terraform, Venafi - Databases: PostgreSQL, MongoDB, MySQL, Cosmos DB, Timestream DB, Milvus DB, Pinecone - BI & Visualization Tools: Matplotlib, Seaborn, Looker, AWS Quicksight - CI/CD: Git, GitHub Actions, Jenkins - IDEs: Jupyter Notebook, Anaconda, Spyder, VS Code, Google Colab - Project Management: Jira, Rally, Miro, Figma, IBM Sales Cloud, Agile Other tools: Twilio, ElevenLabs INTERESTS Inspired swimmer, adventurous explorer, expressive dancer, soulful vocalist, committed educator, visionary artist, perpetual learner, and tech innovator

Location

Bengaluru

AI stack

anthropic apis

antigravity

claude

codex

cursor

hugging face

Work experience

Senior MLOps Engineer at Fractal, Feb 2025 - Present · 1 yr 7 mos, Bangalore Urban, Karnataka, India, • Led the design and implementation of RAG (Retrieval-Augmented Generation) pipelines, integrating retriever, summarization, multithreading, post-processing, and Snowflake database connections for scalable client solutions. • Developed and deployed GPT-4.1 powered code utilities via LLM gateway services, enhancing automation and intelligence across enterprise workflows. • Guided and mentored junior MLOps engineers, providing technical leadership and framework best practices to ensure high-quality deliverables. • Actively participated in LLMOps projects, collaborating with cross-functional teams to build robust AI systems tailored to client requirements. • Engaged in Fractal Hive corporate induction trainings, contributing to knowledge sharing and onboarding for new team members.

WatsonX AI Engineer at IBM, Oct 2024 - Dec 2024 · 3 mos, Bangalore, • Spearheaded the development of AI solutions leveraging NLP, ML, and Python GenAI technologies to drive innovation and success on the IBM WatsonX platform. • Collaborated with cross-functional teams to implement cutting-edge AI algorithms for businesses, shaping the future of Artificial Intelligence. • Achieved significant milestones in enhancing the WatsonX AI capabilities, contributing to the growth and success of the platform. • Engaged in IBM Enablement by participating in SKO4 2024 Sales Kickoff, IBM Health and Safety, IBM Core Training and IBM Sales Incentive Education • Participated with multiple industrial leaders in Global Sales School by learning IBM portfolio in IBM Automation, Data and AI in WatsonX, Mainframes, Storage, Power, Expert Labs, Consulting etc.

Senior Associate at CitiusTech, Apr 2022 - Jul 2024 · 2 y 3 mo, Bangalore, • Released two healthcare projects into production, implementing stringent security measures using Network Perimeter, Firewall, Network Security Groups (NSG), and Venafi certificate management. • Managed Azure infrastructure using Terraform, provisioning resources such as: o Azure Data Factory (ADF) o Azure Data Lake Storage (ADLS) o Azure Firewall, NSGs, Azure Network o Azure Key Vault, Venafi o Azure Cosmos DB • Developed Python utilities for data manipulation and cleaning to support downstream ML workflows. • Conducted technical interviews for both internal and external candidates, leveraging ML methodologies and Azure services to streamline and evaluate the selection process. • Provided infrastructure support and addressed client/team queries using Azure Cost Management, successfully identifying and reducing billing discrepancies. • Architected a machine learning system and MLOps pipeline on Databricks, incorporating MLflow for reinforcement learning models in healthcare projects, ensuring scalability, security, and compliance using Azure services. • Implemented service deployment architecture using Azure Function App and Azure API Gateway, along with DNS aliasing for improved service accessibility and operational management. • Organized and led training sessions for CitiusTech employees aiming for AWS Machine Learning Specialty certification, offering tailored mentoring to boost their preparation and exam success rates.

Senior Software Engineer at CitiusTech, Nov 2021 - Apr 2022 · 5 mo, Bangalore, • Designed monitoring dashboards using AWS QuickSight and Timestream DB; built Python utilities for retrieving statistics on concept drift, data drift, KPIs, and outlier detection. • Revamped Smart MLOps Monitoring Dashboards with insights on feature importance, model drift, and model workflows using Looker Studio. • Performed testing and documentation for the MLOps registry module using AWS SageMaker. • Contributed to architectural design, created wireframes using Figma, and developed test cases (IQ, PQ) in Confluence. • Identified and addressed security and compliance gaps, ensuring FDA regulation alignment using AWS and Azure services across two MLOps projects. • Presented TO-BE architecture to optimize and streamline machine learning workflows. • Led the development of a brain tumor segmentation solution for 3D images using 3D U-Net, TensorFlow, Keras, Nilearn, Nibabel, and Scikit-learn. • Developed Streamlit apps and REST APIs to deliver consumable services for brain tumor segmentation. • Actively contributed to marketing initiatives promoting AI/ML/DS education and awareness. • Participated in Agile ceremonies including sprint retrospectives, planning, and kickoff meetings using Jira, ensuring continuous collaboration and project alignment.

Backend Developer at Zumen, Jan 2020 - Nov 2021 · 1 y 10 mo, Chennai, • Developed interactive product tours for new feature onboarding using React and Java, enhancing user engagement and feature discoverability. • Collaborated closely with the UI/UX team to refine and improve existing applications for a more intuitive and accessible user experience. • Actively participated in architectural and database design discussions for a new product, contributing to scalable and maintainable system design. • Engaged in Agile ceremonies such as scrum meetings, and supported team morale through team refreshment activities. • Resolved bug tickets reported by users and QA, ensuring improved product stability and user satisfaction.

Junior Java developer at Orion Innovation, Oct 2018 - Apr 2020 · 1 y 6 mo, Coimbatore, • Actively participated in scrum meetings and requirement planning discussions to ensure alignment with project goals and timelines. • Contributed in design forums to analyze and propose replacements for outdated technologies, helping modernize the system architecture. • Collaborated with the AI team to conduct technical sessions, and participated in requirement gathering and analysis for AI-driven features. • Awarded R&R (Rewards & Recognition) for outstanding performance in a virtual AI hackathon, showcasing innovation and technical excellence.

Graduate Engineer Trainee at Zoho Corporation, Jul 2018 - Oct 2018 · 3 mo, Tenkasi, • Engaged in JavaScript trainee tasks, working with various coding patterns and design approaches to strengthen frontend development skills. • Designed and created bot templates, and conducted flow analysis and reviews to ensure logical consistency and smooth interaction handling. • Participated in code-based design forums contributing to discussions on structure, maintainability, and scalability of application codebases.

Education

Masters, Artificial Intelligence and Machine learning, Liverpool John Moores University

Postgraduate Diploma Degree, Cloud Computing, Great learning

Public links

github: https://github.com/tanisha25