Shubhankar Tiwari | Software Engineer - Backend Systems & Applied AI

Active2026-Present

LLM Control System — Runtime Reliability for Generative Models

Built a full-stack system to monitor and control LLM generation at the token level, with adaptive instability detection and real-time intervention.

PythonMLOpsLLMControl Systems+1

Active2026-Present

Drift-Aware Fraud Detection — ML Lifecycle & Model Governance

Built an end-to-end ML system that detects data drift, evaluates model degradation, and governs retraining decisions.

FastAPIscikit-learnNext.jsMLOps+2

Completed2025

Conservative Auto-Regeneration Policy for AI-Generated Financial Narratives

Production validation system for AI-generated outputs in financial services — threshold optimisation, conservative AND escalation policy, priority-scored human review queue, and audit-grade provenance.

PythonNLPFinTechML+1

Completed2025

Indian Desi Multilingual LLM — Training Pipeline

End-to-end multilingual LLM training pipeline targeting Hindi/English code-switching. Dataset curation, LoRA fine-tuning, inference evaluation, and deployment packaging across 6 Kaggle notebooks.

PythonLLMNLPLoRA+2

Completed2021

Song Recommender System

ML-based workout song recommender using BPM and VADER sentiment analysis. Co-authored research with K-Means clustering on Billboard Top 100 to match songs to exercise intensity.

PythonMLNLPSentiment Analysis+2

Active2020-Present

Kaggle Portfolio

Notebooks Expert rank #2,441 / 59,663 — personal best #707. 34 notebooks, 11 datasets, 3 models, 1 competition entry. 10 bronze medals across ML, DL, NLP, Computer Vision, and regression.

Data ScienceMLDeep LearningNLP+1