Headline

Lead Data Scientist at Sapien+AI

About

I have ~3 years of experience working in a high-frequency trading (HFT) environment, where I developed a strong foundation in handling large-scale data and using it to drive business decisions—such as building and evaluating trading strategies. Through this experience, I’ve learned how powerful data can be in shaping real-time decisions and outcomes. I’m now expanding into Generative AI and Agentic AI systems to explore broader data-driven applications and deepen my understanding of how data impacts different domains. Currently, I’m building: • Multi-file RAG (Retrieval-Augmented Generation) systems • Agentic AI workflows for autonomous problem-solving • LLM-based applications integrating structured and unstructured data Where I can contribute: • Turning complex data into actionable business insights/decisions • Building scalable data pipelines and AI-driven systems • Applying ML/AI to support decision-making across domains • Developing intelligent, production-ready data solutions I’m interested in roles where I can apply data and AI to make meaningful, real-world impact on decision-making. Let’s connect if you’re working on data or AI-driven problems.

Location

Greater Kolkata Area

AI stack

claude code

cursor

github copilot

hugging face

langchain

Work experience

Lead Data Scientist at Sapien+AI, Aug 2026 - Present · 4 mos, Remote

Quantitative Analyst at Irage Broking Services LLP, Mar 2023 - Feb 2026 · 3 yrs, Maharashtra, India, • Analyzed large-scale high-frequency datasets using Python and SQL to monitor system performance and identify trends, anomalies, and inefficiencies. • Performed data cleaning, feature engineering, and exploratory data analysis using Pandas and NumPy to derive insights from time-series datasets. • Built automated data pipelines and reporting workflows using Python and Bash, reducing repetitive manual analysis by over 90%. • Developed interactive dashboards using Streamlit and Dash to visualize key metrics, time-series behavior, and system performance indicators; mentored junior team members on dashboard design and data visualization best practices. • Evaluated model and strategy parameters through controlled experiments and A/B testing, reducing operational errors by ∼80%; collaborated with senior analysts and technical architects to validate experimental design and align with strategic objectives. • Identified gaps between system performance and business goals; delivered structured business strategy recommendations to the technical team, translating client-side requirements and internal observations into actionable decisions. • Analyzed system logs and performance data to detect irregular patterns; implemented automated validation checks for data quality and monitoring. • Developed an Isolation Forest model on high-frequency volume data to detect stocks with abnormal movement patterns; results were deployed as a monitoring and alerting system and presented to the quant team via email and internal presentations

Project Assistant at The Institute of Mathematical Sciences, Chennai, Nov 2022 - Mar 2023 · 5 mos, Chennai, Tamil Nadu, India, I am working with prof. Saket Saurabh on algorithm design.

Visiting Student at The Institute of Mathematical Sciences, Chennai, Jul 2022 - Nov 2022 · 5 mos, Chennai, Tamil Nadu, India

Master Thesis Student at The Institute of Mathematical Sciences, Chennai, May 2021 - May 2022 · 1 yr 1 mo, India, Worked on simulation methods to study in-depth details of photosynthesis systems

Summer Intern at JNCASR, May 2019 - Jul 2019 · 3 mos, Bengaluru, Karnataka, India, Worked on some statistical mechanics models

Education

Dual BS-MS Degree, Physics, IISER Berhampur