I started in a research lab, curious about how machines learn. Now I build the systems that put that learning to work — at scale, in production, for real people.
Technology Analyst at Citibank, working on AI security platforms, MCP tooling for 2,500+ daily users, and LLM evaluation pipelines. My work lives at the intersection of research-grade thinking and production-grade engineering.
From transformer-based medical AI research at IGDTUW → ML research at the AI Institute of South Carolina → agentic workflows at Citi. Along the way: mentoring students through Intel × Digital India's AI4Youth, speaking at security and developer meetups, and earning a Research Excellence Award from the Delhi Education Minister.
AI's future is shaped by people who translate complexity into curiosity.
"You can't write a regex that catches all prompt injections."
— AI + Security Meetup, Bengaluru 2024
More stages,
more stories
incoming.
Talks · Panels · Workshops · Podcasts
2024
IEEE CONECCT 2024
Proposes a Twin Transformer (TwinViT) architecture for CT scan classification into NSCLC subtypes — Squamous Cell, Adenocarcinoma, Large Cell Carcinoma — achieving 94.3% accuracy and 94.49% precision.
View Paper ↗2024
Conference Paper · April 2024
Explores ensemble deep learning architectures for improved lung cancer classification efficiency and accuracy on CT imaging datasets, improving diagnostic performance over single-model baselines.
View on ResearchGate ↗2023
Conference Paper · March 2023
Proposes a CNN + LSTM hybrid architecture for binary classification of pulmonary nodules on LIDC-IDRI and LUNA16 datasets, achieving 86.89% accuracy. Cited 1 time.
View on ResearchGate ↗2022
Conference Paper · December 2022
Implements LSTM-based binary classification of pulmonary nodules for early-stage lung cancer detection. Cited 4 times — the most cited paper in the series.
View on ResearchGate ↗2024
Systematic Review · July 2024
A systematic review of the emerging role of Large Language Models and NLP techniques in lung cancer diagnosis workflows — bridging Smridhi's medical AI and LLM expertise.
View on ResearchGate ↗2023
Conference Paper
Fine-tuning pre-trained CNN architectures via transfer learning for pulmonary nodule detection, comparing multiple model variants and color spaces for improved detection on standard CT datasets.
View on ResearchGate ↗Languages
AI & LLM
Backend & Cloud
Data & Observability
Citibank
Red Carpet Rewards & Recognition
Recognised for engineering ownership and delivery impact across AI security and agentic platform projects.
IGDTUW · Delhi Education Ministry
Research Excellence Award · ₹50,000 Grant
Presented by Shri Ashish Sood, Hon'ble Education Minister of Delhi, for commendable undergraduate research in medical AI.
open --collab smridhi-gupta
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