Nirmala Kadali — AI Researcher

I'm a data scientist and ML engineer passionate about transforming complex data into actionable insights that drive real-world impact—especially in healthcare and genomics. Currently pursuing my Masters in Data Science at IIIT Hyderabad, I've had the privilege of working as a Senior Data Scientist at GenepoweRx, where I've led the development of large-scale analytics pipelines for genomic, radiological, and clinical data. My work spans cancer fragmentomics, pharmacogenomics, and AI-powered drug discovery, where I've built end-to-end ML workflows for 21 medical conditions and fine-tuned foundation models like MedGemma for radiology AI tasks. What I bring to the table: 1. Healthcare AI Expertise: Built explainable predictive models integrating clinical, genetic, and imaging biomarkers; reduced data processing time from weeks to days 2. Deep Learning & AutoML: Proficient in PyTorch, PyCaret, and custom neural architectures (autoencoders, encoder-decoder models) for high-dimensional medical datasets 3. Full-Stack Data Solutions: Developed API-driven pipelines, interactive dashboards (Power BI, Tableau, Streamlit), and robust database systems that improved analysis efficiency by 80% 4. Research & Innovation: Led KDR gene research for brain cancer drug discovery; participated in FDA App-a-thon for hepatotoxicity prediction Beyond healthcare, I've led Computer Vision projects as an AI/ML Team Lead at Trizen Ventures Technical Arsenal: Python, C++, SQL, scikit-learn, PyTorch, React.js, Node.js, MongoDB, Power BI, Tableau, LLM Engineering I'm driven by curiosity and the challenge of solving problems that matter. Whether it's accelerating drug discovery, personalizing cancer treatment, or building scalable ML infrastructure, I'm always eager to collaborate on projects that push the boundaries of what's possible with data and AI. Dean's List recipient | Open to opportunities in Data Science, ML Engineering, and Healthcare AI Let's connect if you're working on innovative data solutions or want to discuss the intersection of AI and genomics! 📧 lakshminirmalakadali6@gmail.com

Stackforce AI infers this person is a Healthcare AI Specialist with expertise in machine learning and data analytics.

Location: Hyderabad, Telangana, India

Experience: 11 mos

Skills

Machine Learning
Healthcare Ai Expertise
Data Analytics
Data Visualization
Computer Vision
App Development

Career Highlights

Led development of large-scale analytics pipelines in healthcare.
Built end-to-end ML workflows for 21 medical conditions.
Achieved 89% accuracy in detecting radiology abnormalities.

Work Experience

GenepoweRx

Senior Data Scientist (6 mos)

Data and AI Intelligence Analyst (5 mos)

Data Analyst (1 yr 6 mos)

Trizen Ventures LLP

AI/ML Team Lead (1 mo)

SPN Studios

Data Annotation analyst (1 mo)

Airdrop Insurance

App Developer (3 mos)

Education

Masters of science in data science - MSc at International Institute of Information Technology Hyderabad (IIITH)

Bachelor of Technology - BTech at International Institute of Information Technology Hyderabad (IIITH)

PUC - Pre University Course at RAJIV GANDHI UNIVERSITY OF KNOWLEDGE TECHNOLOGIES, ONGOLE

High school at Ravindra High School

Nirmala Kadali

AI Researcher

Hyderabad, Telangana, India11 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Led development of large-scale analytics pipelines in healthcare.
Built end-to-end ML workflows for 21 medical conditions.
Achieved 89% accuracy in detecting radiology abnormalities.

Stackforce AI infers this person is a Healthcare AI Specialist with expertise in machine learning and data analytics.

Contact

Skills

Core Skills

Machine LearningHealthcare Ai ExpertiseData AnalyticsData VisualizationComputer VisionApp Development

Other Skills

genomic dataclinical dataimaging datasetsAutoMLdeep learningexplainable AISHAPcancer fragmentomicspredictive modelingmulti-domain clinical datasetsSEND datasetspredictive modelsclusteringgradient boostingautoencoders

About

Experience

11 mos

Total Experience

11 mos

Average Tenure

11 mos

Current Experience

Genepowerx

3 roles

Senior Data Scientist

Promoted

Nov 2025 – Present · 6 mos · Hyderabad, Telangana, India

Architected and deployed scalable big data pipelines processing 500GB+ genomic, clinical, and imaging datasets, improving throughput by 3× and reducing processing time by 75%.
Developed end-to-end machine learning workflows for multi-domain medical datasets, integrating AutoML, deep learning, and explainable AI (SHAP) for clinical interpretability.
Working on predictive model using cancer fragmetomics for predicting cancer treatment cycle.
Led initiatives for precision medicine, including pharmacogenomics analysis, gene scoring, and predictive models for 21 medical conditions.
Fine-tuned foundation models (MedGemma 4B) on radiology scans, achieving high accuracy (89%) in detecting abnormalities.
Developed an end-to-end machine learning pipeline to predict liver toxicity using multi-domain clinical and SEND datasets, ensuring regulatory-ready outputs and interpretable results for precision FDA Challenge
Developed end-end Automation pipelines from report analysis to the report generation within seconds which reduced 80 percent of manual work

genomic dataclinical dataimaging datasetsAutoMLdeep learningexplainable AI+3

Data and AI Intelligence Analyst

Promoted

Jun 2025 – Nov 2025 · 5 mos · Hyderabad, Telangana, India

Built predictive models for gene-drug-condition associations using clustering, gradient boosting, and autoencoders.
Developed AI-driven dashboards and analytics pipelines, automating extraction, transformation, and visualization of clinical and genomic data, reducing manual effort by 50–90%.
Conducted drug discovery modeling for KDR gene analogues using deep encoder-decoder architectures, created a new clustering algorithm by mimicking kmeans clustering algorithm root architecture and achieving high similarity scores across thousands of compounds.

predictive modelsclusteringgradient boostingautoencodersAI-driven dashboardsMachine Learning+1

Data Analyst

Dec 2023 – Jun 2025 · 1 yr 6 mos · Hyderabad, Telangana, India

Migrated hospital and clinical data from Excel to MySQL databases with automated ETL pipelines, improving data integrity by 95%.
Designed interactive dashboards in Tableau, Power BI, and Python Dash to monitor patient outcomes, genetic risk, and medication response for 1,000+ patient records.
Implemented role-based access control and validation pipelines, maintaining 99.8% data accuracy while reducing reporting errors by 70%.

ETL pipelinesinteractive dashboardsTableauPower BIData AnalyticsData Visualization

Trizen ventures llp

AI/ML Team Lead

Dec 2024 – Jan 2025 · 1 mo · Visakhapatnam, Andhra Pradesh, India · Remote

Led a team of junior developers in the end-to-end development of computer vision projects and machine learning projects, including object detection, segmentation, payment fraud detection and facial recognition
Oversaw client project execution from requirements gathering to deployment, ensuring timely delivery and improved code quality.

computer visionobject detectionsegmentationpayment fraud detectionfacial recognitionComputer Vision