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JYOTHI SWAROOP KUMAR PALLA

@jyothiswaroopkumarpa

AI Engineer at Calimontex Technologies LLC, deployed ConsultIQ and built an auditable framework for evaluating AI-generated financial research.

United States

Message

At Calimontex Technologies LLC, I developed ConsultIQ, an agentic financial research assistant that uses LangGraph, Tavily web search, and yFinance REST APIs to produce structured consulting memos. I deployed it on Hugging Face Spaces and implemented an auditable evaluation framework for research quality, reasoning, and risk coverage.

At Cubic Corporation, I developed EraseNet, a CNN-based object removal and scene reconstruction project, and integrated object detection, mask generation, and image inpainting. Earlier, at Pritsim Solutions Private Limited, I developed a customer segmentation solution using Python and Scikit-learn, with Power BI dashboards to visualize customer behavior.

Experience

Work history, roles, and key accomplishments

Current

AI Engineer

Current

Calimontex Technologies LLC

Mar 2025 - Present (1 year 8 months)

Developed an agentic AI orchestration workflow using LangGraph with a Think–Act–Observe loop to automate financial research and analysis. Integrated Tavily web search and yFinance REST APIs to retrieve financial information and generate structured consulting memos.

Python LangGraph Tavily Yfinance Claude Langsmith Hugging Face LLM As Judge JSON AI Workflows

Machine Learning Engineer

Cubic Corporation

Jun 2024 - Dec 2024 (6 months)

Developed a custom CNN autoencoder with skip connections and dilated convolutions for image reconstruction and object removal. Implemented a two-stage image processing pipeline using YOLOv8 for object detection and mask generation, followed by image inpainting.

Python CNN Autoencoder YOLOv8 Computer Vision Deep Learning Image Processing Precision Recall IOU

Junior Python Developer

Pritsim Solutions Private Limited

Aug 2020 - Jun 2023 (2 years 10 months)

Developed a customer segmentation solution using Python and Scikit-learn to group customers based on purchasing behavior, demographics, and engagement patterns. Performed data cleaning, preprocessing, and exploratory data analysis using Pandas and NumPy.