Arindam Ghosal
@arindamghosal1
I build production multi-agent AI systems for financial workflow automation.
ZimbabweWhat I'm looking for
At UBS, I build and deploy LangGraph-based systems that automate financial modelling workflows, including PPNR model generation from Excel templates and structured data analysis and visualisation.
I've helped replace a manual, multi-day cost forecasting process with a secure platform that delivers reconciled personnel and non-personnel forecasts in minutes. I work directly with stakeholders to scope ambiguous problems and carry solutions from discovery and live demo through deployment.
My projects include CiteMind, a multi-agent system that reconciles PowerPoint decks against Excel data and cuts manual verification time by about 40%, and Codify, a prompt-driven Excel model-generation pipeline with graph traversal, memory optimisation, parallel execution, and human-in-the-loop checkpoints.
Earlier at DMI Finance, I built a containerised generative AI system for synthetic structured data generation and an LLM fine-tuning interface using Axolotl, DeepSpeed, PEFT-style training, 8-bit quantisation, and ZeRO Stage 2 optimisation.
Experience
Work history, roles, and key accomplishments
Agentic AI Project: CiteMind
Personal Project
Jan 2026 - Present (7 months)
Built a multi-agent LangGraph system automating reconciliation of PowerPoint decks against Excel source data, cutting manual verification time by ~40%. Designed parallel suggest/flag agent branches with human-in-the-loop interrupt pattern.
Designed and architected an agentic LangGraph pipeline with graph traversal across Excel sheet dependencies, enabling prompt-driven model generation. Implemented agentic memory optimisation and parallel node execution with HIL checkpoints, cutting model-build time by 30%.
Designed and deployed LangGraph-based applications to auto-generate PPNR models and structured data analysis agents, reducing manual effort by 30% and replacing multi-day cost forecasting processes with a secure, one-stop platform.
Consumer Finance Analyst Intern
DMI Finance
Jan 2024 - Mar 2024 (2 months)
Built a containerised generative AI system for synthetic structured data generation, integrating data cleaning, embedding, and LLM inference. Implemented Gradio-based UI and LLM fine-tuning interface using Axolotl and DeepSpeed.
Agentic AI Project: iForecast
Confidential
Worked directly with stakeholders to understand cost-forecasting pain points, then designed and built a production-grade forecasting application with React frontend, FastAPI backend, and LangGraph orchestration. Implemented data encryption and confidential data handling protocols.
Education
Degrees, certifications, and relevant coursework
VIT Bhopal
Master of Technology, Computer Science and Engineering
2020 - 2025
Grade: 8.61/10
Integrated M.Tech in CSE with specialization in AI & Machine Intelligence, achieving a CGPA of 8.61/10.
Tech stack
Software and tools used professionally
Availability
Location
ZimbabweAuthorized to work in
Job categories
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