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RESUME: Aditya Joshi

I work at the intersection of AI, research, engineering, and product, with a focus on human-in-the-loop systems that integrate AI into real workflows.

I am an applied AI, ML, and product professional with experience turning machine-learning capabilities into scalable products and workflow-integrated systems. My background combines production ML, AI product strategy, human-centered evaluation, research and enterprise software across recruitment, education, fraud detection and compliance.

SKILLS

AI, research, software, and strategy capabilities for building and leading applied AI initiatives.

AI/ML

GenAI Systems

GenAI • RAG • Agent Workflows • n8n • LangChain • LLM Evaluation

Machine Learning

NLP • Transformers • Text Classification • Ranking models • Feature Engineering

Tools

Scikit-learn • Lucene • PyTorch • Pandas • Numpy • Scipy

RESEARCH

Study Design

Experimental design • Survey Design • Field Deployments • User Studies • Psychometrics • Requirement Gathering

Quantitative Analysis

Statistical Testing • Cluster Analysis • Log Pattern Mining • SPSS

Qualitative Analysis

Thematic Coding • Focus Groups • Systematic Literature Reviews • NVivo •DISCO

ENGIEERING

Backend

Python • Flask • REST APIs • Async services • Background jobs

Frontend

Javascript • React • Tailwind CSS • API Integration • Dashboard Design

Systems

SQL • MongoDB • Redis • Event logging • Analytics • API Integration • Docker

PRODUCT

Product Analysis

Feature Scoping • Gap Analysis • User Story Writing • User Experience Research

Product Execution

Roadmap • KPI Definition • Stakeholder Communication • Technical Writing • Public Speaking

EXPERIENCE

Over 10+ years of experience working in academia and companies . I design & develop scalable AI/ML systems and user-facing features that have been used by millions of users in the domains of finance, recruitment, and eGovernance.

Member of Technical Staff

ZL Technologies

Data Scientist

Simility (Paypal)

Machine Learning Engineer (II)

PhenomPeople

2019 - 2021

2016 - 2019

2015 - 2016

AI-driven recruitment platform used by multiple Fortune-500 companies.

  • Led the efforts of a 4-person team working on Job-Resume Fit-Score.

  • Worked on Realtime Fit Score (QoS < 20ms), Extreme classification

  • Engaged with cross-team and CXO-level leadership for roadmapping deployment of fit-score
    Algorithmic Bias Detection and Control.

eGovernance suite used by banks, government organizations, and large international companies.

  • Implemented automatic flagging of Personally Identifiable Information in files to facilitate effective compliance

  • Worked on Inverted Index verification system to ensure the integrity of Lucene Search Core in nightly builds; led to the discovery of issues existing for 10+ years

  • As an SME for ZL Compliance 2.0 and ZL FileAnalytics, collaborated between Sales Engineering, Field Engineers, and QA to assist in release management processes

Real-time human-in-the-loop fraud detection service for eCommerce applications.

  • As the first Data Scientist in the team, developed and deployed Machine Learning pipeline that ensures QoS of 200 milliseconds per transaction

  • Created AI rule integration template that allows clients to augment handwritten rule-based system with pre-trained models

  • Devised the significant signals (features) based on aggregated data based on browser activity, user activity and additional global data

  • Developed deep neural network based models to detect fraud in eCommerce portals automatically

Postdoctoral Researcher

NOLAI
at Utrecht University

2026 - present

Honest Mirror, AI tool for training presentation skills. Public funded project; adopted by two schools in Utrecht region.

  • Lead product-facing research for HonestMirror for development and validation of the software.

  • Convert stakeholder input from students, teachers, school leaders, developers, and funders into product requirements, AI capability priorities, evaluation criteria, and adoption constraints.

  • Define the AI feedback scope by specifying relevant behavioral signals, assessable presentation skills, feedback boundaries, workflow integration needs, and responsible deployment choices around privacy, student trust, and teacher oversight.

PhD Candidate and Lecturer

Utrecht University

2021 - 2026

Data-driven systems that use learner behavior, performance data, and motivational profiles to support engagement and self-regulated learning.

  • Built/deployed StudyLens, adaptive learning platform, serving 4000+ students, incorporating Elo-based student modeling for effective feedback and adaptive learning.

  • Designed and delivered courses on Data Science and Web Technologies for Utrecht University.

  • Developed 1-2 day workshops on Data Science, Python, Databases under OvP program for RijksOverhied.

  • Led and supervised projects in collaboration with Netherlands Politie on human-in-the-loop behavior detection, supervising a team of 10 students across two semesters

  • Supervised 6 MSc and BSc student theses related to applied ML, NLP and UX research

  • Development/deployment, behavioral analysis, experimental design, psychometric profiling.

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COMMUNITY Leadership

Over 10+ years of experience working in academia and companies . I design & develop scalable AI/ML systems and user-facing features that have been used by millions of users in the domains of finance, recruitment, and eGovernance.

Club Officer, Toastmasters International

Honest Mirror, AI tool for training presentation skills. Public funded project; adopted by two schools in Utrecht region.

  • Served as VP Public Relations at Toastmasters club in Hyderabad (2018-19) and VP Membership at Utrecht

  • Contributed to club growth and member success, club received the Distinguished Club Award.

  • Mentored a newly established Toastmasters club at IIIT Hyderabad, supporting early-stage club development, member participation, and leadership continuity.

2018..2023

Organizing Member, ACM IKDD

2014 - 2016

Indian chapter of ACM KDD organizes events, workshops, and conferences on Data Science and Discovery

  • Served as publicity chair of ACM IKDD conference, 2014 and 2015.

  • Maintained multiple websites of ACM India KDD Chapter

  • Engaged in Social Media and Outreach activities of the chapter.