SRSoumyajit Roy
INDEX / 2026DATA SCIENCE · NLP · POST-TRAININGBENGALURU 12.97°N

Soumyajit Roy.

Models that make the call. Research on how LLMs fail.

I'm Soumyajit, a data scientist at Pine Labs in Bengaluru. I work across the full arc of a model, from problem framing and data pipelines to deployment and monitoring, in e-commerce risk, credit underwriting and payments infrastructure. Alongside that, I research how language models fail and what post-training can do about it.

CURRENTLYDATA SCIENTIST I AT PINE LABS · SINCE AUG 2025
for people
Hi, I'm Soumyajit.
At work I decide things: whether an order can ship cash-on-delivery, what someone earns according to a bank statement nobody formatted, how much infrastructure payment traffic will need tomorrow.
In research I look at where language models go wrong, and what LoRA, loss design and ensembling can do about it without needing a bigger model.
BengaluruACL · AACL-IJCNLPB.TECH CSE '25
IN PRODUCTION ATPine LabsPine Labs
Cash-on-delivery risk at D2C checkout✦Credit underwriting for new-to-credit borrowers✦Salary & income detection from bank statements✦Recurring-transaction intelligence✦Payment traffic forecasting✦Financial document extraction with VLMs✦
[ 01 / APPLIED ]

In production

All work →
A.01
Checkout risk
Return-to-origin models that decide, at checkout, whether an order can go cash-on-delivery — including for shoppers and merchants we've never seen before.
A.02
Lending signals
NLP on messy UPI bank statements for SignalIQ: finding salaries, recurring obligations and income sources that older parsers miss.
A.03
Payments infra
Traffic forecasting that keeps infrastructure provisioning honest — enough headroom, no waste.
[ 02 / RESEARCH ]

Selected papers

All research →
P.01ModusPonens ↗Breaking the Plausibility Trap in LLMs via Conflict-Aware EnsemblingSemEval-2026 · ACL
P.02Ambirig ↗Distributional Ordinal Modelling for Ambiguous Word Senses in Narrative ContextsSemEval-2026 · ACL
P.03CodeAnubad ↗Efficient Bangla-to-Python Code Generation via Iterative LoRA Fine-Tuning of Gemma-2BLP-2025 · AACL-IJCNLP
[ TIMELINE ]

Five years, scrubbable

Drag the playhead to move through roles, papers and milestones.

SEP 2026
2021
2022
2023
2024
2025
2026
PAPERJUL 2026
ModusPonens & Ambirig at SemEval-2026
Two system papers at ACL: belief bias in LLMs, and ordinal word-sense modelling.
ROLEData Scientist I · Pine Labs
PAPERS5
WORKPAPEREDUCATION
[ 03 / STACK ]

The stack, mapped to the work

Each tool is shown against the projects it was used on. Hover over a row or column to trace it.

HOVER THE GRID
PINE LABS · PRODUCTION
RESEARCH
TOOL ↓ · PROJECT →
Cold-start RTO risk
Recurring transactions
Salary detection
Income estimation
Traffic forecasting
Doc extraction
ModusPonens
Ambirig
CodeAnubad
Σ
PythonLANG
9
CatBoostGBM
2
XGBoostGBM
1
Logistic regressionML
1
BERTNLP
1
DeBERTa-v3NLP
1
Qwen-2.5-14BLLM
1
Gemma-2-9BLLM
1
LoRA / QLoRAFINE-TUNE
2
Vision-language modelsVLM
1
Model ensemblingML
1
ALSOSQLPANDASNUMPYLIGHTGBMPROMPT ENGINEERINGAWS SAGEMAKERAWS S3GIT / GITHUB / GITLAB
[ CONTACT ]

Hiring, collaborating, or just curious? Write to me.

Emailroysoumyajit@icloud.com ↗LinkedIn/in/roysammy ↗Google Scholarpublications ↗GitHubroysammy ↗