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AI Trainer @ Nirmaan Org | QA @ Outlier AI | AI/ML Consultant @ Turing | Assistant Prof & AI/ML Trainer @ St. Mary’s Group | AI Engineer Intern @ RadicalX | DS Apprentice @ iNeuron.ai | Ex-Web Dev @ Softfix Technologies
AI Trainer | AI/ML Engineer | Assistant Professor | Data Science Educator I am an AI Trainer, AI/ML Engineer, and Educator with over 5+ years of experience in Artificial Intelligence, Machine Learning, Data Science, and academic teaching. My passion lies in building practical AI solutions while empowering students and professionals with industry-relevant AI and Data Science skills. Currently, I work as an AI Trainer at Nirmaan Organization, where I design and deliver training programs in Artificial Intelligence, Machine Learning, Data Science, Python Programming, and Generative AI. I also serve as an Assistant Professor, mentoring students through academic learning, real-world projects, and career development in emerging technologies. Throughout my professional journey, I have worked across industry, research, and academia, gaining hands-on experience in machine learning model development, natural language processing, deep learning, generative AI, and data-driven decision-making. I have successfully mentored 200+ students and aspiring professionals, helping them build strong foundations in AI and Data Science. Core Expertise: • Artificial Intelligence (AI) • Machine Learning & Deep Learning • Generative AI & Large Language Models (LLMs) • Natural Language Processing (NLP) • Computer Vision • Data Science & Analytics • Python Programming • FastAPI, Flask & REST APIs • SQL & Database Management • PyTorch, TensorFlow & Scikit-learn • Docker, Git & Cloud Technologies Professional Experience: • AI Trainer – Nirmaan Organization • Assistant Professor & AI/ML Trainer • AI/ML Consultant – Turing (Contract Completed) • AI Engineer Intern – RadicalX • Data Science Apprentice – iNeuron.ai • Web Developer – Softfix Technology Education & Achievements: • B.Tech in Computer Science Engineering (76.1%) • GATE Data Science & Ar
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology - BTech, Computer Science
April 1, 2016 – September 1, 2020
Adarsh H.S.School Bargadwa Basti
Intermediate, Science
January 1, 2012 – January 1, 2014
Rashtriya I C Turkaulia Siddharth Nagar
High school, Science
July 1, 2011 – June 1, 2012
Nirmaan Organization
Artificial intelligence Trainer
April 1, 2026 – Present
Bhubaneswar · On-site
Outlier AI
Quality Assurance Specialist
April 1, 2026 – Present
India · Remote
Turing
AI/DS Consultant (Multimodal / Computer Vision)
December 1, 2025 – May 1, 2026
Remote · Remote
GO Classes
Gate Data Science and Artificial Intelligence Student
August 1, 2024 – March 1, 2026
Jaipur, Rajasthan, India · Remote
EVOASTRA VENTURES PVT LTD
Data Scientist
June 1, 2024 – August 1, 2024
Mumbai, Maharashtra, India · Remote
RadicalX
Artificial Intelligence Engineer Intern at RadicalX
November 1, 2023 – February 1, 2024
447 Broadway. New York, New York 10013, US · Remote
St. Mary's Group Engineering College
Technical Trainer(Assistant Professor)
September 1, 2023 – December 1, 2025
Hyderabad · On-site
DeepThought Growth Management System
Behavioral Data Scientist Fellowship
September 1, 2023 – February 1, 2024
Hyderabad, Telangana, India · On-site
iNeuron.ai
Data Science Apprentice
January 1, 2022 – August 1, 2023
17th Floor Tower A, Brigade Signature Towers, Sannatammanahalli, Bengaluru, Karnataka 562129. · On-site
Softfix Technologies
Web Developer
November 1, 2020 – February 1, 2022
4 489, Vibhav Khand -4, Vibhav Khand, Gomti Nagar, Lucknow, Uttar Pradesh 226010 · On-site
Internshala
Data Science & Business Analytics
October 1, 2020 – December 1, 2020
Remote
Meter Pavilion
May 1, 2026 – Present
Meter Pavilion is a highly specialized, multi-domain and multi-application AI data generation and training project. It focuses on pushing the boundaries of Large Language Models (LLMs) by testing their ability to handle complex context-gathering, logical reasoning, and intricate, natural human prompt engineering.Contributors on this project focus heavily on constructing multi-step scenarios to evaluate how fluidly an AI model transitions across different subject domains.
EDU Data Collection
April 1, 2026 – May 1, 2026
Worked on the EDU Data Collection – Blurry Images Project (Batch 1), focused on creating and classifying blurry educational images for AI training in the English (US) locale. Project Outcome: Contributed to building high-quality blurry image datasets for training AI-powered educational systems.
Google Photomath Mesh
March 1, 2026 – March 1, 2026
Worked on the Google _Photomath_Mesh Images project focused on creating and classifying educational images for the English (India) locale.
Google_DM_Moltimodal
February 1, 2026 – February 1, 2026
Contributing to the Google DM Multimodal Project, working on the creation and evaluation of high-quality multimodal datasets. Responsibilities include analyzing images, diagrams, and text-based inputs, designing structured tasks in domains such as Computer Science and Mathematics, and ensuring data quality for AI/ML model training and evaluation.
Full Stack Data Science
iNeuron.ai
June 23, 2026 – Present
Introduction to Programming Using Python
Internshala
June 23, 2026 – Present
AMERICAN INSTITUTE OF ENGLISH LANGUAGE PVT.LTD
Prime Plaza Complex, 312, Munshipulia Chouraha, Indira Nagar, Lucknow, Uttar Pradesh 226016
June 23, 2026 – Present
Ministry of Social Justice and Empowerment
Government of India
June 23, 2026 – Present
UN Volunteers
UN Volunteers Europe and Central Asia
June 23, 2026 – Present
Ministry Of Home Affairs
Ministry Of Home Affairs (mha), GOI
June 23, 2026 – Present
Prediction of Loan Approval using Machine Learning
International Journal of Scientific Research in Engineering and Management (IJSREM)
June 23, 2026 – Present
Problem Solving(Intermediate)
HackerRank
June 23, 2026 – Present
Tally.ERP9
NIIT Limited
June 23, 2026 – Present
Data Science & Business Analytics
Internshala
June 23, 2026 – Present
Social Entrepreneurship
NayePankh Foundation
June 23, 2026 – Present
Code Tagger
Kaggle
June 23, 2026 – Present
Foundational Generative AI
iNeuron.ai
June 23, 2026 – Present
BASIC LEARNING PRACTICE
Infosys Springboard
June 23, 2026 – Present
Artificial Intelligence Engineer Internship
Reality AI Lab
June 23, 2026 – Present
Data Scientist Internship
EVOASTRA VENTURES PVT LTD
June 23, 2026 – Present
Gate DA
GO Classes
June 23, 2026 – Present
Kaggle Community Membership Certificate
Kaggle
June 23, 2026 – Present
Python Coder
Kaggle
June 23, 2026 – Present
Generative AI Master mind
Outskill
June 23, 2026 – Present
Dataset Creator
Kaggle
June 23, 2026 – Present
Cultural Fit Analysis
The candidate demonstrates a strong interest and commitment to the AI/ML domain through diverse projects and roles, including personal projects focused on LLMs and multimodal data. Their experience spans data collection, quality assurance, and training, indicating a broad understanding of the AI lifecycle. The variety of roles (trainer, QA specialist, consultant, intern) suggests adaptability and a willingness to learn and contribute in different capacities. The focus on AI education and data quality aligns well with a culture that values continuous improvement and robust model development.
Soft Skills & Operational Fit
The candidate's experience as an AI Trainer and Quality Assurance Specialist suggests strong attention to detail, analytical thinking, and an ability to provide constructive feedback. Their work on various data collection and evaluation projects indicates adaptability to evolving guidelines and a focus on data quality, which are crucial for operational fit in an ML engineering role. However, direct evidence of collaboration on complex software development projects is limited.