🌱 I am working as a Data Scientist at Genpact's AI Practice Team while delivering cutting-edge solutions for leading clients across Healthcare, Finance, Insurance, Retail and Manufacturing. Primarily a member of the Computer Vision team, my work also extends to leveraging NLP, RL and Generative AI to address real-world challenges and drive innovation in this space. I have filed my first patent on Multimodal Retrieval-Augmented Generation (RAG) and published two research papers on Enhancing Image Retrieval in RAG Systems and Text-to-Speech innovations at IEEE's ICECET 2024 (Sydney) and the DCAL's 11th ICBAI (IIM Bangalore) in 2024, respectively. Currently, I am focusing on R&D for advancements in Speech, Vision, and Language technologies with plans to patent our innovations and publish more of our findings at future conferences!
🔭 In 2022, I had a great time working as a Summer Research Intern at IIIT Hyderabad's LTRC (Language Technologies Research Centre).
👯 I’m looking to collaborate on developing awesome stuffs with Deep Learning (NLP/Vision), Generative AI/ RAG, RLHF , Finetuning and LLMOps.
🙎🏼♀ Pronouns: She/Her
📈 Recent Achievement: Officially Kaggle Kernels Expert & Lead AI Instructor at Topmate (Top 1% in Data)!!! 😎
🤣 Fun fact: There is no RL in RLHF, ifykyk!
I guide students and professionals through my Topmate.io on their data science journey to transition into a successful and industry ready Data Scientist. Currently I am amongst the top/lead AI instructors at Topmate (Awarded Top 1% in Data & Standout 2023 with 110+ bookings and 5⭐ rating!)
As a technical-writer by passion, I write a lot of tech blogs on Data Science and ML/AI. Read my latest published blogs!👩🏼💻
- 📌Building an Agentic RAG Application using LangChain, Tavily & GPT4T - Ranked 1st Article of Blogathon'51!🥇
- 📌PII Detection and Masking in RAG Pipelines
- 📌RAG Powered Document QnA & Semantic Caching with Gemini Pro
- 📌Ask your Documents with Langchain and Deep Lake!
- 📌Top 15 Important Machine Learning Interview Questions - Winning🥉 Article of Blogathon'25
- 📌My Experience Interviewing with Google!
- Top 15 Important Data Science Interview Questions
- A Comprehensive Guide to Time Series Analysis and Forecasting - Amongst top 10 Articles at Blogathon-20
- Demystifying DCNNs — the AlexNet
- Out of Bag (OOB) Evaluation in Random Forests
- Hands-On Named Entity Recognition with SpaCy
- The Complete LSTM Tutorial With Implementation
- Movie Recommendation Engine with NLP
- The Complete XGBoost Therapy with Python
- Automated Hyperparameter Tuning with Keras Tuner and TensorFlow 2.0
- Text Summarization using BERT, GPT2, XLNet
- Activation Functions — All You Need To Know!
- Transformers — Let’s Dive Deeeep!
➡️ more blogs on Data Science and Machine Learning...
Blogs published as a part of Analytics Vidhya Data Science Blogathons are here! 👈🏼
