pankaj kumar goyal

AI Researcher

Sapotra, Rajasthan, India1 yr 5 mos experience

Most Likely To SwitchAI Enabled

Key Highlights

Developed advanced NLP solutions for financial analytics.
Secured top ranks in prestigious hackathons.
Published two papers at SemEval 2025.

Stackforce AI infers this person is a Machine Learning and NLP specialist in the Fintech industry.

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Skills

Core Skills

Machine LearningNatural Language Processing (nlp)Data Engineering

Other Skills

Analytical SkillsArtificial Intelligence (AI)Automatic speech recognitionBERT (Language Model)Cascading Style Sheets (CSS)ChatGPTCommunicationComputer AlgebraComputer Network OperationsComputer ScienceComputer VisionConvolutional Neural Networks (CNN)Data AnalysisData AnalyticsData Annotation

About

I am a highly motivated Machine Learning and NLP enthusiast with hands-on experience in LLMs, RAG pipelines, and financial analytics. As an ML intern at Binocs, I built agentic workflows using GPT-4 and O3 Mini for automated industry reports and KPI analysis. I’ve worked on GenAI projects like Text-to-3D conversion and developed multilingual voice QA systems. I’ve secured top ranks in prestigious hackathons like LLMS4OL and Indoml, and published two papers at SemEval 2025 (ACL Workshop). My work blends strong engineering skills, deep research, and a passion for solving real-world problems using AI.

Experience

1 yr 5 mos

Total Experience

1 yr 5 mos

Average Tenure

1 yr 5 mos

Current Experience

Binocs.co

2 roles

AI Engineer

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · On-site

Working on Visual Enhancement of Industry Report and Investment memo

Machine Learning Intern

Dec 2024 – Jun 2025 · 6 mos · Bengaluru, Karnataka, India · On-site

Developed and deployed query optimization solutions using GPT-4 to extract payee names, significantly accelerating query processing time.
Created and deployed automated industry report generation with agentic RAG, producing customizable reports with dynamic sub-sections (e.g., competitors, revenue models, KPIs like EBITDA).
Built and deployed financial metric extraction processes with LLMs (e.g., GPT-4), transforming unstructured data into structured JSON for actionable insights.
Ensured data consistency across reports by implementing strict structured formats and maintaining global variables (e.g., market size).
Enhanced report accuracy and deployed KPI visualization tools using advanced NLP, agentic RAG, and the O3 Mini model for precise, data-driven insights.

GPT-4NLPRAGFinancial AnalyticsData ConsistencyKPI Visualization+2