Summary
Rahul Gond is a Lead Data Scientist with a B.Tech in Computer Science from IIT Guwahati and a decade of experience turning unstructured text and IoT telemetry into production-grade insights. He has led teams building a scalable, oneM2M-compliant IoT platform while also architecting search, NLP and deep-learning pipelines—spanning Elasticsearch, TensorFlow, PySpark and MongoDB—to power contextual search, sentiment and topic models. Rahul’s background blends hands-on engineering (Java crawlers, Spring Boot, Kafka, NiFi) with applied ML work in healthcare cost estimation and aspect-based opinion mining, demonstrating end-to-end delivery from data ingestion to deployed APIs. Equally comfortable with researchy NLP techniques (dependency parsing, LSTM/CNNs, Spacy) and cloud/infra concerns (AWS, BigQuery, HBase), he thrives on making messy text data actionable at scale. A former game-dev intern who implemented telemetry logging in Unity, he brings a curiosity for diverse domains and a track record of shipping robust systems in production.
10 years of coding experience
7 years of employment as a software developer
12th Class, Physics, 12th Class, Physics at De Paul School
Bachelor of Technology (B.Tech.), Computer Science & Engineering, Bachelor of Technology (B.Tech.), Computer Science & Engineering at Indian Institute of Technology, Guwahati
English, Hindi