Senior Data Scientist, Acko | Deep Learning | topmate.io/sakshitantak

Bengaluru, Karnataka, India

India

Mumbai, Maharashtra, India

Mumbai, Maharashtra, India

India

India





Bachelor of Engineering, Information Technology
Pune Institute of Computer Technology
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I’m passionate about solving real-world problems with impactful, scalable tech. With hands-on experience across diverse datasets and industries, I help companies harness the power of AI to transform operations and design more human-centered, intelligent systems. My strength lies in translating complex use cases into practical AI solutions — driving value while advocating for a balanced relationship between humans and machines in the workplace. Outside of work, I explore life like a curious node in a vast neural network — swimming, meditating, singing, traveling, and observing the little things that make life beautifully insignificant. You might find me deep in research papers one day, and decompressing in a quiet park the next. Let’s talk AI, ML, DL — or just share notes on building a more mindful, tech-driven world. And if you needed a sign to move your body today… this is it. Always excited to collaborate with mission-driven teams shaping the future of safe, responsible AI 🫶🏻
Bengaluru
hugging face
langchain
langgraph
openai
Data Scientist 2 at Acko, Mar 2024 - Present · 2 yrs 2 mos, Bengaluru, Karnataka, India, Built platform for identifying document fraud at the time of claim Built central platform that enables building any document intelligence use cases with the help of a mere configuration file. Conducting continued pre training and fine-tuning of SLMs for domain adaptation in insurance like analysing policies, and enabling JSON data interpretation using LLMs.
Senior Data Scientist at Vakilsearch, Jun 2023 - Mar 2024 · 10 mos, India, Conducted continued pre-training and fine-tuning of language models ranging from older to relatively newer architectures to serve and enhance legal domain. Built a chatbot to help reduce escalations in customer experience section with LLMs using RAG
Senior Data Scientist at i3systems.ai, May 2022 - Jun 2023 · 1 yr 2 mos, Mumbai, Maharashtra, India, - Worked on developing models and strategising data for Financial Underwriting platform - an intelligent platform to extract and validate data from financial documents like Salary Slips & ITR. Trained CRF-BiLSTM based architectures using flairnlp & CRF++ for NER with a very generic tagging strategy for documents where data exists in key-value pairs - Fine-tuned Clinical LongFormer for extraction of clinical & non-clinical data from discharge summaries - Fine-tuned LiLT for extraction of major sections from discharge summaries - Conducted trial to predict quality of document images using LayoutLMv3 - Fine-tuned LayoutLM, LayoutLMv2 & LiLT for extraction of PII from KYC documents - Aadhar, PAN Card, Passport, Voter ID & Driving Licence - Conducted trial for image classification by fine-tuning Vision Transformer based architectures - Worked on correcting angles of document images to prevent issues arising from disoriented images in inference of multimodal models - Built quick demos and internal annotation tools using Streamlit - Customised existing streamlit component for NER annotation/highlighting to aid highlighting entire token instead of substrings selected upon dragging - Customised existing streamlit component to convert BIO to BIOES style of annotation for NER - Working on developing a system to identify potentially fraudulent claims by using a vast array of data points extracted from documents attached with claims, using objective triggers & embeddings based search & retrieval of claims with similar to exact section occurrence in documents
Data Scientist at i3systems.ai, Aug 2021 - May 2022 · 10 mos, Mumbai, Maharashtra, India, - Trained NER models to extract Metadata from Bills, Reports & Discharge Summaries using flairnlp, SpaCy & CRF++ - Integrated Microsoft Azure’s Language Services in an existing product for medical codes like ICD10, UMLS, etc using textanalytics healthcare API - Trained NER models for extraction of PII information from KYC documents - Aadhar, PAN Card, Passport, Voter ID, Driving Licence & Insurance IDs - Experimented with a lot of models for multiple tasks
Python Developer at Indian Institute of Technology, Bombay, May 2021 - Sep 2021 · 5 mos, India
Junior ML Engineer at Omdena, May 2021 - Jul 2021 · 3 mos, India, NLP, Web Scraping
Bachelor of Engineering, Information Technology, Pune Institute of Computer Technology
github: https://github.com/pikaduck