Rajagopal Vajja

AI Researcher

Hyderabad, Telangana, India7 yrs 4 mos experience

AI EnabledAI ML Practitioner

Key Highlights

7.5+ years of experience in AI/ML solutions.
Expertise in Generative AI and NLP.
Proven track record in enhancing data quality and accuracy.

Stackforce AI infers this person is a Data Scientist specializing in AI/ML solutions for Healthcare and Document Intelligence.

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Skills

Core Skills

Multi-agent SystemsPython (programming Language)Generative AiNlp LibrariesNatural Language Processing (nlp)Data ScienceBusiness Intelligence (bi)SqlWeb Scraping

Other Skills

AutogenCrewAIRetrieval-Augmented Generation (RAG)OCRRAGLLMLarge Language Models (LLM)Interpersonal CommunicationApplied Machine LearningPrompt EngineeringInformation RetrievalSupervised LearningAttention to DetailData ClassificationTransformers

About

• Data Scientist with 7.5+ years of experience designing and deploying AI/ML solutions across enterprise and production environments. • Hands-on expertise in Generative AI, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and Multi-Agent architectures. • Strong foundation in Natural Language Processing (NLP) with experience in Transformers, Word2Vec, Deep Learning, Named Entity Recognition (NER), and Text Classification for multiple real-world use cases. • Extensive experience implementing OCR pipelines using Tesseract, AWS Textract, and Azure OCR for document intelligence and automation solutions. • Designed, built, and scaled high-performance Python microservices using CherryPy, Sanic, and FastAPI, with a focus on scalability and maintainability. • Solid command of Data Structures and Algorithms, enabling efficient system design and optimized model pipelines. • Advanced experience working with complex SQL queries on Amazon Redshift, along with Elasticsearch for search use cases and MongoDB for NoSQL data modeling. • Strong analytical capabilities using NumPy, Pandas, and Matplotlib for data exploration, validation, and insight generation.

Experience

7 yrs 4 mos

Total Experience

1 yr 2 mos

Average Tenure

Current Experience

Harman international

Tech Lead Product Development

May 2024 – Jun 2025 · 1 yr 1 mo · India · Remote

Multi-agents:
💊 AI/LLM-Based Healthcare Data Intelligence
Engineered a pipeline using OCR, CrewAI, and RAG to extract and validate medicine ingredient information from images, ensuring compliance with global medical nomenclature standards.
Reduced manual verification effort and enhanced data quality and regulatory accuracy.
📊 Automated Hierarchical Data Mapping (85%+ Accuracy)
Designed an automated parent-child hierarchy identification system using Autogen and pretrained LLMs.
Boosted accuracy to 85%+, significantly accelerating dataset structuring and improving overall data consistency.

Python (Programming Language)Multi-agent SystemsAutogenCrewAIRetrieval-Augmented Generation (RAG)

Fission labs

Senior Software Engineer

Apr 2023 – Apr 2024 · 1 yr · Hybrid

Worked on Multiple PoC for various clients using GenAI
I have used streamlit to the demo purposes to make it more interactive.
I have Prompt Engineering and RAG during the process.
As well built and scaled a chabot for Fissionlabs official website using Azure Q&A maker.

NLP LibrariesRetrieval-Augmented Generation (RAG)Large Language Models (LLM)Interpersonal CommunicationApplied Machine LearningPrompt Engineering+5

Foundation ai

Senior Data Scientist

Sep 2021 – Oct 2022 · 1 yr 1 mo · Hyderabad, Telangana, India

🔍 Enhanced OCR Accuracy Through Advanced Image Preprocessing
Improved OCR text extraction quality using preprocessing techniques such as grayscale conversion, noise reduction, and bounding-box optimization—resulting in significantly cleaner and more reliable text output.
🧠 Boosted Annotation Data Quality by 20%+
Combined the strengths of Tesseract, Amazon Textract, and Azure OCR to enhance multi-engine annotation quality, improving overall dataset accuracy and downstream model performance by 20%+.
📄 Document Classification at Scale (90%+ Accuracy)
Built a robust classification system to categorize legal and healthcare documents into 100+ subcategories, achieving 90%+ accuracy and enabling faster automated document processing.
📅 Intelligent Date Extraction Using RoBERTa QA
Designed a RoBERTa-based QA model to extract context-specific document dates across various subcategories, improving downstream conversion and processing efficiency by 50%+.
⚙️ Scaling ML Models with Production-Ready REST APIs
Designed and deployed scalable ML inference services using Python, FastAPI, and modern REST-API engineering practices, ensuring high throughput, low latency, and seamless integration with upstream applications.
👥 Technical Leadership & Cross-Functional Collaboration
Managed a team of 2–3 Data Scientists, driving end-to-end project execution through daily scrums, sprint planning, and code reviews.
Experienced with Jira, Bitbucket, Confluence, and Agile best practices for workflow optimization and team alignment.