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My Resume. You can download it from the button right there 👉
Basics
| Name | Harshwardhan Fartale |
| harshwardhanfartale.nith@gmail.com | |
| Phone | +91-9766898203 |
| Url | https://emharsha1812.github.io/ |
Work
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2025.10 - Present Advanced Data Science Associate
ZS
Built agentic AI and language-model systems for life sciences and healthcare.
- Built an agentic AI platform for life sciences, automating FDA dossier reviews with word-level traceability across 2,000+ source documents
- Built and scaled a custom semantic LLM prompt router to handle 3,000+ requests daily
- Post-trained small language models for healthcare, achieving performance comparable to frontier models
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2024.07 - 2025.09 Predoc Associate
DRDO & Indian Institute of Science, Bangalore
Developed embedded ML systems for combat-aircraft applications and scientific ML research at AiREX Lab.
- Wrote C++ inference modules for CASDIC combat-aircraft hardware, optimizing ML model execution under embedded latency constraints and reducing inference time by 35% versus baseline
- Fine-tuned IBM Granite and Gemma models for scientific ML tasks, built a Graph-RAG pipeline that outperformed baselines by 45%, and led development of PULSE and SciREX under AiREX Lab
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2024.01 - 2024.06 Data Scientist
Bajaj Finserv Health
Built fraud detection models and graph-based pipelines for Bajaj Health's payments pipeline.
- Built a fraud detection model that caught 20% more abusive transactions than the existing rule-based system, processing 3000+ transactions/day across Bajaj Health's payments pipeline
- Built a graph-based fraud detection pipeline in Neo4j and Memgraph with optimized SQL feature extraction, improving linked-fraud recall by 55% and model precision by 30% versus tabular baselines
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2023.01 - 2023.06 Open Source Technical Writer
OpenMined
Created technical documentation and educational material for privacy-preserving ML.
- Wrote beginner tutorials and technical documentation on differential privacy and federated learning for PySyft, and integrated them into OpenMined's onboarding docs
- Published blog posts explaining privacy-preserving ML concepts, driving monthly reads across OpenMined channels
Education
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2020.12 - 2024.05 B.Tech
National Institute of Technology, Hamirpur
Electrical Engineering
CGPI: 8.56
- GATE Data Science (DA) AIR 663
Publications
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2026 Disentangling Recall and Reasoning in Transformer Models through Layer-wise Attention and Activation Analysis
AAAI XAI4Science Workshop (2026)
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2026 Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings?
LoResMT: EACL Workshop (2026)
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2026 The Evolution of FlashAttention
ICLR Blog Post Track (peer-reviewed) (2026)
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2026 GPU Programming with Triton
Manning Publications — Author (MEAP, 2026)
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2025 Equilibrium Dynamics and Mitigation of Gender Bias in Synthetically Generated Data
AAAI Workshop on Shaping Responsible Synthetic Data in the Era of Foundation Models (2025)
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2025 RADAR: Mechanistic Pathways for Detecting Data Contamination in LLM Evaluation
NeurIPS LLM Evaluation Workshop (2025)
Projects
- 2025 - Present
Alcuin — Deep AI Learning Platform
A mathematically rigorous AI learning platform with structured topic flows for many simultaneous learners.
- Built a learning platform with mathematically rigorous AI courses and structured topic flows for many simultaneous learners
Skills
| Languages | |
| Python | |
| C++ | |
| SQL | |
| Triton |
| ML/AI | |
| PyTorch | |
| Scikit-learn | |
| RAG pipelines | |
| LLM fine-tuning | |
| Graph-RAG |
| Infrastructure | |
| Docker | |
| Kubernetes | |
| GCP | |
| FastAPI | |
| Neo4j | |
| Memgraph | |
| PostgreSQL |
| Technical Writing | |
| Manning author of GPU Programming with Triton | |
| Medium | |
| Hashnode | |
| Substack |
Volunteer
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2025.07 - 2025.09 -
2025.01 - 2025.01 ML & Data Science Trainer for DRDO Scientists
DRDO Industry Academia Centres of Excellence (DIA-CoEs)