ANUSHA P
KANNUR,India
Summary
Senior AI/ML Engineer with nearly 5 years of industry experience developing Machine Learning, Deep Learning, NLP, Conversational AI, Agentic AI, and Generative AI solutions across healthcare, fintech, and enterprise applications. Former Assistant Professor in Electronics and Communication Engineering with a Master's degree in VLSI & Embedded Systems, bringing a unique blend of research, teaching, and practical AI engineering expertise. Possesses a strong understanding of the computational and hardware foundations underlying modern AI systems, including neural networks, GPUs, and large language models, enabling the translation of theoretical concepts into scalable real-world solutions. Experienced in designing and deploying production-grade AI applications on cloud platforms using AWS and Azure. Passionate about continuous learning, innovation, and applying Artificial Intelligence to solve complex business challenges and create meaningful impact.
Overview
19
19
years of professional experience
6
6
years of post-secondary education
Work history
Lead Engineer - AI
Altimetrik
Bengaluru, Karnataka
2025.11 - 2026.05
- Project 1-AI Enhancements in data quality: Synopsis – I contribute to AI-driven data quality improvements in a unified PaaS ecosystem for building and managing digital products. I develop machine learning and AI features that enhance data quality, consistency, and reliability across automated pipelines.
AI Engineer
Equipo Health Inc.
Trivandrum, India
2024.11 - 2025.09
- Project 1- Model to predict likelihood of Malnutrition: Synopsis – A system to predict possibility of malnutrition in patients given their demographics and clinical test results. The developed system aims to assist healthcare professionals in early detection and intervention, ultimately improving patient care.
- Project 2: A System to Classify Clinical Deterioration Levels Using NEWS2 Score. Synopsis: This project focuses on developing a predictive model to classify patients into different clinical deterioration risk levels based on their predicted NEWS2 score. The model uses clinical values and demographic data as input features to assist healthcare professionals in early intervention.
- Role involved: Extracting and managing relevant data from the database. Performing data cleaning, preprocessing, and feature engineering to enhance model performance. Training and evaluating the XGBoost classifier to predict malnutrition risk accurately. Conducting feature importance analysis to identify key contributing factors. Deploying the trained model within a docker container. Creating detailed reports to present findings and insights.
- Project 3: Non clinical and Clinical AI Agents. Build AI agents that automate common hospital workflows. Two tracks: Non-clinical operations: appointment scheduling, medication refill requests, RPM (remote patient monitoring) device troubleshooting. Clinical assistance: nursing line support (symptom triage, care advice within protocol), pre-visit questionnaires.
- Role involved: Development of a voice-based AI agent leveraging Amazon Strands to design and orchestrate complex agent workflows. Utilized Amazon Lex solely as an integration layer with Amazon Connect for voice interactions. Built agent workflows in Strands and defined conversational intents, utterances, and slots in Lex for integration with Amazon Connect. Created and managed voice contact flows in Amazon Connect for inbound and outbound calls. Implemented backend logic, validation, and fulfillment through AWS Lambda. Integrated Amazon Bedrock Knowledge Bases for RAG-based contextual retrieval and invoked foundation models via Bedrock to generate accurate, context-
Machine Learning Engineer
Reflections Info Systems Pvt. Ltd.
Trivandrum, Kerala
2021.11 - 2024.11
- Client 1- Employee Engagement Software company: (Role: Machine Learning Engineer). Synopsis - This project involves designing a Conversational AI chatbot for an all-in-one employee engagement platform, streamlining team communication and daily processes through interactive execution playbooks. The chatbot is built using the RASA framework and leverages Spacy for Named Entity Recognition (NER). Role Involved: Created and structured training data for Rasa NLU and Core. Designed and optimized the RASA pipeline to improve intent classification and entity extraction. Developed and implemented custom actions to generate dynamic bot response.
- Client 2-Finance Domain: (Role: Python Developer). Synopsis - Mobile application for student credit card management. The product is a digital and physical credit card that targets the underserved segments in the US. The app facilitates the issuance and use of a credit. In this app the user can sign up and apply for a credit card. Upon Application there is a set of API integrations that kick in with different players in our app ecosystem so that the entire process is seamless and automated. Role Involved: Python API development using Flask and Fast API, Database management using SQL alchemy, design, build, test and iterate APIs using API platform Postman, data syncing by publishing AWS SNS messages to an Amazon SQS queue or AWS Lambda function.
- Credit Card Fraud Detection: (Role: Machine Learning Engineer). A combined rule-based logical modeling and ML model approach to detect fraudulent users. This involves analyzing reason codes, user verification details sourced from third parties, and various scores derived from user profile information.
- Client 3-Health Care: ECG Arrythmia Classification (Role: Machine Learning Engineer). The Goal is to find the arrythmia event, if present in the patient record of heart beats. This event prediction uses R-peaks, Beats prediction and heart rate. We combine ML based event prediction and rule-based event prediction for result. Used CNN model architecture.
Asst. Professor in Electronics and Communications Engineering
Govt. College of Engineering Kannur
Kannur, Kerala
2017.08 - 2017.12
Lecturer in Electronics Science
Sree Narayana Guru College of Engineering and Technology
Payyannur, Kerala
2012.11 - 2017.07
Lecturer in Electronics Science
College of Applied Science Nadapuram
Nadapuram, Kerala
2007.06 - 2010.05
Education
Masters of Technology - VLSI & Embedded System
Rajagiri School of Engineering and Technology
Kakkanad, Cochin 2010.01 - 2012.01
Bachelor of Technology - Electronics and Communication Engineering
Cochin University
Kalloppara, Kerala 2002.01 - 2006.01
Skills
Languages: Python, SQL
AI Agentic framework: AWS strands, Langchain&LangGraph, CrewAI
MLOps Platforms: MLflow, Azure Machine Learning
LLM observability platforms: LangSmith, OpenTelemetry
Databases: PostgreSQL, MySQL
NLP libraries: spaCy, NLTK Experience in NER and Sentiment Analysis
Conversational AI chatbot design using RASA framework Certified RASA Developer
Classical ML algorithms, Frameworks:TensorFlow,Keras,PyTorch, DL models LSTM, CNN
Libraries: OpenCV, NumPy, Sklearn, Keras, Matplotlib, Pandas, SciPy and SQL Alchemy
Cloud platforms: AWS, Azure
API Development using Flask and Fast API Deployment using Docker
Frameworks: TensorFlow, Flask, FastAPI
Generative AI, Large Language Models (LLM) and Prompt Engineering
Other Skills: Statistical analysis (Descriptive, Inferential, Hypothesis Testing), Exploratory Data Analysis, Feature Engineering, Hyperparameter Tuning
Databricks
PUBLICATIONS
Co-author, Edge detection using resistive thresholdlogic networks with CMOS flashmemories. https://doi.org/10.1108/IJICC-06-2013-0032 .
Languages
English
Fluent
Hindi
Intermediate
Timeline
Lead Engineer - AI
Altimetrik
2025.11 - 2026.05
AI Engineer
Equipo Health Inc.
2024.11 - 2025.09
Machine Learning Engineer
Reflections Info Systems Pvt. Ltd.
2021.11 - 2024.11
Asst. Professor in Electronics and Communications Engineering
Govt. College of Engineering Kannur
2017.08 - 2017.12
Lecturer in Electronics Science
Sree Narayana Guru College of Engineering and Technology
2012.11 - 2017.07
Masters of Technology - VLSI & Embedded System
Rajagiri School of Engineering and Technology
2010.01 - 2012.01
Lecturer in Electronics Science
College of Applied Science Nadapuram
2007.06 - 2010.05
Bachelor of Technology - Electronics and Communication Engineering
Cochin University
2002.01 - 2006.01