ABJASREE.

1. Entry 03Apr 2024 — PresentLead Data Scientist · Remote

   DATYCS

   • Led a 6-member GenAI & Research squad; built AWS/Azure CI/CD reducing model roll-out time by −80% (3 weeks → 5 days).
   • Architected & deployed 3 transformer-based NLP/CV pipelines processing 10K+ AML/CLL charts into Snowflake, boosting throughput +35%.
   • Fine-tuned TrOCR for handwritten prescriptions, improving accuracy +25% and enabling real-time medication safety alerts.
   • Deployed Vision LLM on Azure to parse multi-handwriting prior-authorization forms into structured JSON (+28% accuracy, −45% manual review).
   • Leveraged autonomous AI agents for patient-specific search validation and clinician response generation (+30% accuracy, −40% reply time).
   • Partnered with Eversana to analyze AML & CLL therapy-switch drivers and adverse effects, shaping pharmaceutical market-access strategies.
2. Entry 02Aug 2022 — Mar 2024Data Scientist · Chennai

   IIT Madras

   • Automated analysis of 1,000+ CT/MRI images, reducing manual preprocessing time by −80%.
   • Increased renal calculi & pulmonary nodule diagnostic accuracy by +18% using CNN + radiomics + Bayesian-optimized XGBoost.
   • Deployed QA models at Apollo Proton Cancer Center, cutting turnaround −10% and flagging 12 high-risk plans per quarter.
3. Entry 01Dec 2021 — Aug 2022Teaching Assistant · Part-time

   Univ.AI

   • Assisted in teaching machine learning and data science courses to students from diverse backgrounds.
   • Mentored students in practical ML projects and helped them understand complex AI/ML concepts.
   • Contributed to curriculum development and course material preparation.

1. F.01Oct 2023 — Jan 2024Publication · Nature Sci. Reports

   Radiomics for NSCLC Classification ↗

   Built radiomics model with 83% accuracy for differentiating adenocarcinoma and squamous cell carcinoma in non-small cell lung cancer beyond nodule morphology in chest CT. Decision-curve analysis showed net clinical benefit across thresholds.

   • Radiomics
   • Machine learning
   • Medical imaging
2. F.02Sept 2022 — Oct 2023Med-NeurIPS 2023

   Zero-Shot Image Registration (ZSIR-FE) ↗

   Designed DNN feature-based registration improving Dice score by +0.30 and running 6× faster than SIFT on BRaTs dataset through feature extraction approach.

   • Deep learning
   • Computer vision
   • Image registration
3. F.03Sept 2022 — Oct 2023Publication · Nature Sci. Reports

   Pulmonary Nodules Classification ↗

   Engineered radiomic features + XGBoost on limited Indian dataset, achieving 89% accuracy (+10% vs prior studies) for pulmonary nodules classification from chest CT scans.

   • XGBoost
   • Feature engineering
   • Medical AI
4. F.04Sept 2022 — Jul 2023Clinical deployment

   Automatic Detection of Renal Calculi

   Processed 163 CT scans and built deep-learning pipeline reaching 85% accuracy (+25 pp improvement); slated for clinical deployment.

   • Deep learning
   • Medical imaging
   • Clinical AI
5. F.05May 2019 — June 2020MS Thesis

   Elliptic Flow of Light Nuclei ↗

   Simulated heavy-ion collisions with AMPT; computed elliptic flow using STAR detector data for light nuclei. Developed C++ macros to compare Coalescence models with experimental measurements, achieving thesis distinction. Also worked on simple ML classification models to distinguish signals and background.

   • HPC
   • C++
   • Machine learning

Certifications

• AWS Certified ML Engineer — Associate Early AdopterAmazon Web Services · Dec 2024↗
• AWS Certified ML Engineer — AssociateAmazon Web Services · Dec 2024 → Dec 2027↗
• Event-Driven Agentic Document WorkflowsDeepLearning.AI · Mar 2025↗
• Machine LearningCoursera · Oct 2021↗
• Sequence ModelsCoursera · Oct 2021↗
• Algorithmic ToolboxCoursera · Nov 2021↗

Education

• Indian Institute of Science Education and Research, Tirupati BS MS Dual Degree · CGPA: 8.02015 — 2020↗
• G. H. S. S. Palakkad Higher Secondary · Percentage: 97.33%2013 — 2015
• Jawahar Navodaya Vidyalaya (JNV) High School · CGPA: 102012 — 2013↗