Headline

AI Engineer | Ex- Societe Generale | Data Science | Masters in Data Science | Python | Deep Learning | NLP | Generative AI | LLMs

About

I am a Data Scientist with a Masters in Data Science and 3+ years of experience Skills : Machine Learning, Deep Learning, NLP, Graphs Languages : Python, C++, R, Powershell ML libraries / frameworks: Pytorch, Fast API, scikit learn, pandas, nltk, spacy Tools and Databases : Langchain, Cursor, Vector DBs, Postgres DB Worked on : Recommender Systems, NLP, Intelligent Document Processing (IDP) for Banking, LLMs, Gen AI, Retrieval-Augmented Generation (RAG), Network Analysis for Healthcare, Automation Having a curious mindset and a fascination with AI, always makes me look for ways to leverage AI, to solve real-world problems.

Location

Bengaluru

AI stack

claude code

langgraph

langsmith

DSPy

LiteLLM

PydanticAI

Work experience

Software Engineer 2 - AI at Salesloft, Sep 2025 - Present · 1 yr 2 mos, Bengaluru

Data Scientist - AI at Societe Generale Global Solution Centre, Jun 2024 - Sep 2025 · 1 yr 4 mos, Bengaluru, Karnataka, India, • Developed a Retrieval-Augmented Generation (RAG) pipeline for a question-answering system on financial documents using ColBERTV2 and LLMs - Devised a custom Chunking strategy for efficient indexing and integrated Vector Databases for Text Indexing and Retrieval - Optimized the retrieval time and retrieval quality through Query Transformation, Metadata filtering and Hybrid Search • Implementing Intelligent Document Processing (IDP) solutions leveraging models like LLama, LayoutXLM and Donut to automate document classification, key-value extraction, and layout-aware text understanding across unstructured and semi-structured financial documents

Software Engineer at Societe Generale Global Solution Centre, Jul 2022 - May 2024 · 1 yr 11 mos, Bengaluru, Karnataka, India, • Designed, developed, and managed a backend application for Automated Ticket Resolution • Reduced the Mean Time To Resolution significantly by 45% on the top 3 ticket categories through Process Automation • Prepared and processed data for training ML models in ticket classification and integrated an ML API to classify tickets based on their titles • Mentored 3+ juniors, providing guidance in the development tasks

Data Scientist at Argoid, Jan 2022 - Jun 2022 · 6 mos, • Optimized the Feature Engineering module of the Fashion-based Recommender Systems, faster by 32 times, through appropriate data structures and optimization techniques • Revamped the Feature Extraction module by performing NER with BERT to extract 10+ features from the product description

Research Assistant at International Institute of Information Technology Bangalore, May 2020 - Nov 2020 · 7 mos, Worked on a Multilevel Network Analysis to identify Cancer Biomarkers, under the guidance of Dr. Jaya Sreevalsan Nair. • Explored and evaluated different Regression techniques through literature survey to construct correlation networks between miRNAs and target genes • Reduced the density of the graph by removing insignificant nodes thresholding techniques • Discovered top 5 important cancer drivers through Community Detection and Centrality measures

Summer School Student at ACM Summer School on Graph Theory and Graph Algorithms, Jun 2019 - Jun 2019 · 1 mo, NIT Calicut, This three-week program covered various topics from basic graph algorithms like BFS, DFS to advanced concepts like Approximation and Fixed-Parameter Algorithms. It also included lectures on Computational Geometry.

Education

Master of Science (5 year integrated), Data Science, PSG College of Technology