From multilingual NLP research at IIT Bombay to healthcare AI in Bengaluru and founding engineering in Berlin—a career focused on turning applied research into reliable products.
Experience archive
2025
Bryo
Berlin, Germany
Founding engineer on an agentic sales-automation platform that turns complex RFQs into accurate quotations. I work across AI workflows, backend architecture, data models, cloud infrastructure, enterprise integrations, and product delivery.
- Re-architected the backend from a monolithic prototype into a production-grade, microservices-based FastAPI system and redesigned the database schema to store complex quotation data more efficiently.
- Established the engineering foundation with Terraform-managed infrastructure, GitHub Actions CI/CD, and shared development standards and guidelines.
- Built an agentic pipeline that parses DXF/PDF engineering drawings, classifies requirements with LLMs, and auto-fills Excel quotations—cutting turnaround from weeks to under an hour.
- Integrated inbound and outbound platform workflows with Outlook and Odoo ERP.
2024
Senior Data Analyst
Built production data and applied-AI systems for healthcare clients, spanning retrieval-augmented generation, large-scale inference, web data acquisition, and entity extraction from unstructured records.
- Developed a production RAG pipeline that used LLMs to generate query filters, summarize retrieved healthcare records, and rank results by similarity, with parallel processing to reduce execution time.
- Designed web crawlers with Selenium, Requests, BeautifulSoup, asyncio, and aiohttp, improving pipeline efficiency by 85%.
- Extracted key entities from unstructured data through classification and LLM prompt tuning, filling gaps in master datasets and improving downstream analysis.
2022
Data Scientist
Built Docketry, an intelligent document-processing product, contributing across applied ML, backend architecture, secure deployment, integrations, and product analytics.
- Fine-tuned LayoutLMv2 to a 94% F1-score across 10 document categories, enabling accurate automated document classification.
- Architected Docketry’s backend using Django and a gRPC service framework with authentication and authorization, deployed on Azure behind Nginx.
- Published the Docketry PyPI package to provide plug-and-play integrations for client systems.
- Applied prompt engineering to extract structured fields from raw documents and improve automation workflows.
- Designed analytics dashboards that turned product usage logs into clear operational summaries.
2020
04 · Dec 2020—Jun 2022
NLP Researcher
Indian Institute of Technology Bombay
Conducted NLP research with Prof. Pushpak Bhattacharyya, focusing on multilingual and code-mixed language understanding, low-resource data augmentation, and neural text generation.
- Engineered a named-entity recognition model for code-mixed queries across 5 Indian languages, 17 entity tags, and more than 100,000 annotated entries.
- Fine-tuned an ensemble BERT model to a 94.79% F1-score and developed data augmentation methods that improved targeted low-resource language performance by 20%.
- Explored RNN, LSTM, Transformer, T5, and GPT architectures across NER, transliteration, machine translation, and summarization.
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