Aashutosh Joshi

Product Engineer

Delhi, India1 yr 6 mos experience
Most Likely To Switch

Key Highlights

  • Innovative research in deep learning for SAR analysis.
  • Developed neural networks for satellite launch cost analysis.
  • Created intelligent web agents for real-time financial data extraction.
Stackforce AI infers this person is a Fintech and AI enthusiast with a focus on deep learning and data analysis.

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Skills

Core Skills

Deep LearningNeural NetworksData AnalysisArtificial Neural NetworksData ExtractionAutomation

Other Skills

Complex Vision Transformer modelsFourier transformationsSAR analysisanalytical insightsdata imputationdata parsingliterature reviewvisualizationswavelet transformations

About

Undergraduate at the Indian Institute of Technology, Kharagpur (Class of 2026), driven by the convergence of technology and modern finance. I am deeply interested in the application of advanced AI to solve complex financial challenges. My focus is on innovations in Large Language Models (LLMs), Agentic AI, and Small Language Models (SLMs) and their potential to revolutionize the fintech landscape.

Experience

Autocash.ai

Software Engineer - ML

Jun 2025Present · 9 mos · New York, United States · Remote

Honda cars india ltd

Winter Intern

Dec 2024Dec 2024 · 0 mo · Greater Noida · On-site

  • Worked in the Enterprise Operations (IT) department in the Data Analytics domain.

Indian institute of technology, kharagpur

Undergraduate Research Internship

Oct 2024Present · 1 yr 5 mos · Kharagpur, West Bengal, India · On-site

  • Working on advanced research under Prof. Mahesh Mohan at the Signal Processing and Artificial Intelligence (SPAi) group, focusing on developing novel deep learning architectures for SAR LCC. Involved in conducting an extensive literature review of 100+ studies on real-valued and complex-valued neural networks for SAR analysis, providing key insights into the role of phase information. Actively working on utilizing unlabeled complex SAR datasets for classification and experimenting with Fourier and wavelet transformations, fusion-based architectures, and Complex Vision Transformer models to enhance classification performance and model generalization across geolocations.
deep learningneural networksSAR analysisliterature reviewFourier transformationswavelet transformations+1

Fellowship.ai

Data Science Fellow

Oct 2024Dec 2024 · 2 mos · San Francisco, California, United States · Remote

  • Worked as part of a team developing intelligent financial web agents to extract real-time bank interest rates, leveraging automation for accurate data acquisition. Involved in integrating Omniparser to streamline data parsing and enhance extraction accuracy and overall system performance.
data extractionautomationdata parsing

Cambridge judge business school

Research Apprenticeship

Sep 2024Jan 2025 · 4 mos · England, United Kingdom · Remote

  • Worked on a research project analyzing the cost-efficiency of ISRO’s satellite launches in comparison to the US space sector. Involved in developing an artificial neural network model to impute missing satellite launch cost data, strengthening dataset reliability for time-series and comparative analysis. Also contributed to generating analytical insights and visualizations that supported the study’s exploration of frugal innovation in the space industry.
artificial neural networksdata imputationanalytical insightsvisualizationsdata analysis

Education

Indian Institute of Technology, Kharagpur

Bachelor of Technology — undergrad

Jan 2022Jan 2026

Ryan International School, Noida

High School

Apr 2006Jul 2021

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