Shivangi Lal

AI Researcher

Bengaluru, Karnataka, India5 yrs 6 mos experience

AI EnabledAI ML Practitioner

Key Highlights

5 years of experience in AI and Machine Learning.
Expertise in Generative AI and Natural Language Processing.
Proven track record in automating complex processes.

Stackforce AI infers this person is a Data Science and AI specialist with a focus on NLP and Machine Learning.

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Skills

Core Skills

Data ScienceNatural Language Processing (nlp)Machine Learning

Other Skills

Retrieval-Augmented Generation (RAG)Python (Programming Language)Data AnalysisPythonLangchainDistilBertPhi4-14B LLMDjangoLlamA-3-8BBM25 retrievalFAISS vector databaseStreamlitStable DiffusionGenAIDeep Learning

About

With 5 years of professional experience, I've had the chance to work on a variety of really interesting projects based on: - Generative AI (Large Language Models) - RAG - Data Analysis - Natural Language Processing - Computer Vision - Machine Learning - Deep Learning Having a deep interest in the field of Data Science, I am always up for learning new concepts, discussing complex problem statements and putting my best foot forward in finding out the most viable solutions.

Experience

5 yrs 6 mos

Total Experience

1 yr 9 mos

Average Tenure

3 mos

Current Experience

Chubb

Senior AI/ML Engineer

Feb 2026 – Present · 3 mos · Bengaluru

Deloitte

Senior Data Scientist

Mar 2023 – Feb 2026 · 2 yrs 11 mos · Bengaluru · Hybrid

Senior Data Scientist under Enabling Areas.
▪︎ Worked on a news-articles' scraping project that extracted the contents of new articles and classified them into various categories telling the trend of market scenarios.
▪︎ Worked on a Human Resources project using Langchain, DistilBert, Phi4-14B LLM to assess organizational culture via a composite score from employee reviews and internal surveys. Evaluated unconscious bias through Intrinsic assessments, network analysis, policy documents and HR/talent data to uncover disparities helping leadership identify gaps in inclusion metrics and improve organizational culture.
▪︎ Built a Python/Django feature leveraging Phi4 14B LLM to automatically generate functional requirements, test scenarios, and test cases from Business Requirement Documents (BRDs),
thereby reducing significant manual QA effort by ~60%.
▪︎ Built a retrieval-augmented generation (RAG) based chatbot using LlamA-3-8B with BM25 retrieval and FAISS vector database, deployed via Streamlit improving user query resolution and enabling
faster access to knowledge base data.

Retrieval-Augmented Generation (RAG)Python (Programming Language)Data ScienceNatural Language Processing (NLP)

Ltimindtree

Senior Engineer

Nov 2022 – Feb 2023 · 3 mos · Bengaluru, Karnataka, India

Mindtree is now LTIMindtree!

Machine LearningPython (Programming Language)

Mindtree

2 roles

Senior Engineer

Promoted

Aug 2022 – Nov 2022 · 3 mos

Worked on various internal as well as client-facing projects based on Machine Learning, Deep Learning, Computer Vision, Image Segmentation, Object Detection, Natural Language Processing, Unity Game Engine etc.

Engineer

Oct 2020 – Aug 2022 · 1 yr 10 mos

Successfully completed the three months' Orchard Learning program(1st Oct, 2020 - 15th Jan, 2020) at Mindtree in Digital-AI track.
Currently assigned to a project in Emerging Digital Solutions.