Aman Poddar

Aman Poddar

Software Developer • Incoming MA/PhD Student, I/O Psychology

I build tools that connect workplace data, software systems, and human-centered decision-making. With a background in Computer Science and practical experience in software development, machine learning, and organizational analytics, I will be joining the MA/PhD program in Industrial-Organizational Psychology at the University of Nebraska at Omaha in Fall 2026.

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Kathmandu, Nepal Research collaborations welcome

Bridging research questions and real-world systems

Why I/O Psychology

I entered software engineering through data, automation, and machine learning projects. Over time, my work increasingly connected back to people: how teams make decisions, how organizations use technology, and how workplace systems affect well-being, leadership, and fairness. I now focus on the bridge between technical systems and evidence-based organizational practice.

Current focus

Preparing to begin MA/PhD in I-O Psychology in Fall 2026. My current focus is on human–AI interaction, creativity, innovation, and ethical AI use in workplace decision-making. I am documenting applied work on AI-supported assessment, organizational compliance, behavioral analytics, and employee well-being while continuing to support I/O Psychology Nepal through knowledge-sharing and applied discussions.

Education

Incoming MA/PhD Student, Industrial-Organizational Psychology

University of Nebraska at Omaha, Omaha, Nebraska, USA

Beginning Fall 2026

BSc. Computer Science & Information Technology

Amrit Science Campus, Tribhuvan University (2018 – 2023)

Focused on statistics, research methodology, data science, machine learning, technical writing, and principles of management.

Quick perspective

2+

Years across software, AI, and organizational analytics

80%

Manual reporting workload reduced through automation

1674

FIDE rating – strategic mindset

8+

Selected certifications in psychology, research, AI, and workplace skills

How I collaborate

  • • Translate organizational problems into practical software, data, and research workflows.
  • • Work across technical and non-technical teams to connect analytics with workplace decisions.
  • • Support metrics and systems that respect ethics, culture, transparency, and employee well-being.

Professional experience

Gurzu

Software Developer

July 2025 – July 2026 Kathmandu, Nepal (Hybrid)

Key contributions

  • Worked on AI and software systems related to organizational compliance, behavioral analytics, and team decision-making.
  • Designed APIs and scalable backend systems using FastAPI, AWS, and database-driven workflows.
  • Contributed to AI-supported interview and assessment tools with attention to behavioral evaluation and organizational fit.
  • Collaborated with technical and non-technical stakeholders to connect software systems with practical organizational needs.
  • Supported team coordination, technical planning, and applied problem-solving across AI and compliance-related projects.

Toolkit

FastAPI AWS Behavioral Analytics Organizational Compliance AI-Assisted Assessment

Hybrid

Python Web Developer

April 2024 – December 2024 Kathmandu, Nepal

Key contributions

  • Developed automated reporting systems that reduced manual workload and improved workflow efficiency.
  • Applied behavioral and operational data analysis to support employee engagement and performance-related insights.
  • Collaborated with leadership to interpret data and identify opportunities for process improvement.
  • Supported remote-work and organizational development initiatives focused on engagement, productivity, and well-being.

Toolkit

Python Django AWS Reporting Automation Behavioral Analytics Data Storytelling

Upaya

R&D Engineer

July 2023 – March 2024 Kathmandu, Nepal

Key contributions

  • Worked on machine learning, OCR, automation, and internal data systems for operational and HR-related workflows.
  • Fine-tuned and tested AI-based components for employee-related assessment and document analysis tasks.
  • Automated document analysis and HR workflows, improving efficiency and reducing manual processing.
  • Contributed to employee engagement and stress-assessment initiatives connected to workplace well-being.
  • Built data extraction and automation workflows using Python and related tools.

Toolkit

Python OCR Machine Learning Automation Selenium AWS

CloudFactory

Data Specialist

May 2020 – March 2023 Remote

Key contributions

  • Delivered high-accuracy data projects while upholding CloudFactory’s values of character, competence, and community.
  • Collaborated across distributed teams and volunteered in community-driven initiatives.

Toolkit

Data Quality Process Optimization Team Collaboration

Signature work

Phishing Defence: Decision-Aware ML System

Under Review

Developed a Chrome extension backed by Flask and Random Forest models to flag phishing URLs and explain risk factors in plain language.

Connects cybersecurity decision-making with human judgment, risk perception, and workplace behavior.

Python Flask Random Forest Human-Centered AI

Behavioral Reporting Platform

In Production

Automated the translation of raw operational data into tailored PowerPoint briefings for leadership and HR partners.

Reduced manual reporting work and helped leadership interpret operational and engagement-related indicators more efficiently.

Django AWS S3 pptx Automation Data Storytelling

Document Intelligence Pipeline

In Production

Combined RAG, LangChain, and custom OCR scripts to extract, verify, and summarize employee records at scale.

Supported document verification, HR-related workflows, and compliance documentation through automation and AI-assisted processing.

LangChain RAG AWS EC2 Python

Engagement Signal Analysis

Prototype

Used LLM-powered sentiment analysis to synthesize feedback from social platforms and internal surveys.

Synthesized feedback patterns from workplace data and supported more structured conversations around engagement and employee experience.

OpenAI LangChain Sentiment Analysis Data Visualization

Research direction

Questions I'm exploring

  • Human–AI interaction and creativity at work.
  • AI-assisted personnel assessment and interview evaluation.
  • Workplace behavior, leadership, and employee well-being.
  • Behavioral analytics and organizational decision-making.
  • Ethical and transparent use of machine learning in organizations.
  • Quantitative methods, survey research, and applied organizational research.

Publications & manuscripts

  • Phishing Defense: A Machine Learning System and its Impact on Workplace Dynamics

    Research write-up based on undergraduate project and applied workplace implications.

  • Ongoing research writing focused on AI, work behavior, and organizational systems.

Academic goal

My academic goal is to study how AI and machine learning can responsibly support creativity, innovation, leadership, and workplace decision-making. I am especially interested in human–AI collaboration, including how AI tools shape idea generation, evaluation, autonomy, and employee well-being. As I begin MA/PhD training at the University of Nebraska at Omaha, I hope to develop mixed-method research that connects technical systems with human judgment, organizational context, and practical outcomes for ethical and innovative workplaces.

Teaching & mentoring

Teaching Associate — Binary Entrance (2023)

Tutored IT aspirants in mathematics, statistics, data structures, and Python programming while facilitating communication and leadership workshops.

How I work

Technical & Analytical

Machine learning, data engineering, and platform development skills that translate research into usable products.

Python FastAPI & Django AWS SQL & MongoDB REST APIs Machine Learning Data Analysis Automation & Scripting

Organizational Science

Behavioral research methods that connect empirical insights with leadership decisions.

Survey Design Behavioral Data Analysis Employee Engagement Workplace Well-being Organizational Development Leadership Communication Ethics & AI in Organizations

Professional Strengths

Human-centered skills developed through teaching, facilitation, and cross-functional leadership.

Research Writing Technical Writing Communication Teaching Collaboration Stakeholder Alignment Applied Problem-Solving

Selected certifications

  • Foundations of Positive Psychology – University of Pennsylvania, Coursera (2024)
  • Professional Skills for the Workplace – UC Davis, Coursera (2024)
  • Organizational Behavior – Udemy (2024)
  • Understanding Research Methods – University of London, Coursera (2024)
  • Emotional Intelligence Practitioner Certificate – Udemy (2024)
  • Fuse AI Fellowship – Fusemachines (2024)
  • Generative AI with Large Language Models – DeepLearning.AI & AWS, Coursera (2023)
  • Machine Learning Specialization – Stanford University / DeepLearning.AI, Coursera (2022)

Leadership & community work

AI & Organizational Compliance Projects

Gurzu

2025 – Present

Worked on projects connecting organizational compliance, ethical decision-making, behavioral analytics, and AI-supported workflows.

Member

I/O Psychology Nepal

2025 – Present

Supporting Nepal’s emerging I/O Psychology community through knowledge-sharing sessions, professional discussions, and applied conversations on workplace well-being, leadership, and organizational development.

Mental Health Awareness Program – Coordinator

Kathmandu, Nepal

March 2024

Helped organize a national-level workshop with psychologists on stress, productivity, and workplace well-being, and supported post-event feedback analysis.

Beyond work

  • • National-level chess player with a FIDE rating of 1674, strengthening strategic thinking and patience.
  • • Team captain, IT Cricket Cup 2019, with experience in teamwork and leadership under pressure.
  • • Interested in workplace well-being, ethical technology, and evidence-based organizational practice.