Deepu Rajak
Bangalore, India
Deepu Rajak
Data Scientist with full-stack development experti
Category : Artificial intelligence (AI)
Hello all. I am Deepu Kumar Rajak, a Data Scientist and a graduate of IIT Kharagpur.Throughout my career, I have focused on building intelligent systems that solve real-world problems using Machine Learning and Generative AI:
At LifeFy, I am currently developing a production-grade AI health platform. I have built RAG pipelines using the OpenAI Assistant API and optimized GPT-4o with domain-specific prompt engineering to provide personalized care based on user health records.
At Careervira, I worked as a Data Scientist where I handled large-scale edtech data. I built a text classification workflow that improved query categorization accuracy from 74% to 94% using LDA topic modeling and ensemble learning.
Technical Projects: I developed "Smart Care AI," which uses an ensemble of Random Forest and XGBoost to predict cardiovascular risk, combined with a Gemini-powered RAG system for clinical queries. I also built a "WhatsApp Chat Analyzer" that uses VADER sentiment analysis to track emotional trends in conversations.
My Core Skills include Python, SQL, and deep expertise in NLP, LLMs, and vector databases. I also have a strong foundation in MLOps tools like Docker, Kubernetes, and Jenkins to ensure models are scalable and production-ready.I am passionate about taking complex data and turning it into simple, actionable insights that drive product value.
At LifeFy, I am currently developing a production-grade AI health platform. I have built RAG pipelines using the OpenAI Assistant API and optimized GPT-4o with domain-specific prompt engineering to provide personalized care based on user health records.
At Careervira, I worked as a Data Scientist where I handled large-scale edtech data. I built a text classification workflow that improved query categorization accuracy from 74% to 94% using LDA topic modeling and ensemble learning.
Technical Projects: I developed "Smart Care AI," which uses an ensemble of Random Forest and XGBoost to predict cardiovascular risk, combined with a Gemini-powered RAG system for clinical queries. I also built a "WhatsApp Chat Analyzer" that uses VADER sentiment analysis to track emotional trends in conversations.
My Core Skills include Python, SQL, and deep expertise in NLP, LLMs, and vector databases. I also have a strong foundation in MLOps tools like Docker, Kubernetes, and Jenkins to ensure models are scalable and production-ready.I am passionate about taking complex data and turning it into simple, actionable insights that drive product value.
Working hours
- Monday:08h00 To 18h00
- Tuesday:08h00 To 18h00
- Wednesday:08h00 To 18h00
- Thursday:08h00 To 18h00
- Friday:08h00 To 18h00
- Saturday:Not available
- Sunday:Not available
Objective: Build a production-grade AI health platform with LLMs, RAG pipelines, and OpenAI APIs for personalized care.
◦ Developed cross-platform health apps for iOS, Android, and Web using FlutterFlow with integrated ML-driven features.
◦ Built a Supabase backend with Edge Functions to process multimodal data from PDFs and images using LLM APIs.
◦ Designed a retrieval-augmented system using OpenAI Assistant API to ground responses in user health records.
◦ Optimized GPT-4o behavior through domain-specific prompt design and evaluation to power a scalable health assistant
◦ Developed cross-platform health apps for iOS, Android, and Web using FlutterFlow with integrated ML-driven features.
◦ Built a Supabase backend with Edge Functions to process multimodal data from PDFs and images using LLM APIs.
◦ Designed a retrieval-augmented system using OpenAI Assistant API to ground responses in user health records.
◦ Optimized GPT-4o behavior through domain-specific prompt design and evaluation to power a scalable health assistant
IT Kharagpur graduate with 2 years of experience building production-grade machine learning and NLP solutions in
health-tech and edtech. Experienced in predictive modeling, LLM applications, and scalable ML deployment using Python
and modern AI APIs. Seeking a Data Scientist or NLP / GenAI Engineer role to build intelligent systems.
health-tech and edtech. Experienced in predictive modeling, LLM applications, and scalable ML deployment using Python
and modern AI APIs. Seeking a Data Scientist or NLP / GenAI Engineer role to build intelligent systems.
- 🇬🇧 English
- 🇮🇳 Hindi
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