Vikrant sahu
AI Research Scientist at Hotel Trader
Bengaluru, Karnataka, India
Summary
👤
Senior🎓
Top SchoolVikrant Sahu is an AI Research Scientist with 11 years of experience building production-grade ML and NLP systems across fintech, financial services, and pharma from Bengaluru. He specializes in LLMs, RAG architectures, and ML infrastructure, and has translated research into revenue-impacting products—e.g., a 2–3 year LTV forecasting system (MAPE ~8.8%) and a RAG chatbot that handles 5,000+ documents with ~90% efficiency. His work blends pragmatic engineering (Pyspark/Databricks pipelines, vector DBs, low-latency RAG with P95 <1s) with responsible AI practices like SHAP-based interpretability and causal uncertainty estimation. Vikrant has led small teams to deliver measurable business gains—incremental revenue uplift and CAC reduction—while streamlining deployment of open-source LLMs using Fastchat/LangChain. Notably, he pairs deep modeling expertise (BERT, LSTM, counterfactual analysis) with product sensibilities from prior roles in analytics and BI, enabling fast iteration from prototypes to robust production services.
11 years of coding experience
9 years of employment as a software developer
Dual Degree (B.Tech + M.Tech), Electrical, Electronics and Communications Engineering, Dual Degree (B.Tech + M.Tech), Electrical, Electronics and Communications Engineering at National Institute of Technology Rourkela
English, Odia, Hindi
Stackoverflow
1reputation
0reached
0answers
0questions
Github Skills (89)
representation-learning9
webscraping9
self-attention9
binding9
python8
pandas-dataframe8
agent8
datasets7
automation7
data-validation7
monitor7
open-data7
jupyter-notebook7
discord7
data-quality7
Programming languages (5)
Github contributions (5)
vikrant-sahu/Mixed_Projects
Feb 2020 - Jul 2020
This repo is only for testing the git analytics app.
Contributions:20 commits, 9 PRs, 14 pushes in 5 months
testinganalytics
vikrant-sahu/Forecasting-Overnight-Stay-in-Hotel
Feb 2018 - Feb 2018
Contributions:5 pushes, 1 branch in 1 day
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