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Aditya Kumar Goel

AI/ML | Innovator | Explorer

Master's in Artificial Intelligence @ Nanyang Technological University Singapore
Ex-Responsible AI Senior Analyst at Accenture

About Me

AI/ML specialist delivering cutting-edge solutions

My expertise lies in training and fine-tuning Large Language Models (LLMs) and Machine Learning (ML) models to create bespoke solutions tailored to unique challenges. I thrive on exploring the depths of the Vector Database & Semantic Search, utilizing advanced embedding techniques, and harnessing the power of AI for innovation.

Mission: In a world where AI is rapidly transforming industries, my mission is to leverage my skills in AI and ML to drive innovation and solve complex problems. I am enthusiastic about collaborating with forward-thinking organizations and individuals who share a vision of harnessing the power of AI for the greater good.

Artificial Intelligence

Responsible AI GenAI LLMs Computer Vision Vector Database Semantic Search Embeddings Machine Learning Deep Learning

Programming & Tools

Python PyTorch TensorFlow OpenCV FastAPI Docker MLFlow Postman

MLOps & DevOps

CI/CD for ML Azure ML AWS SageMaker DVC Weights & Biases Model Monitoring

Experience

Professional journey and academic achievements

Nanyang Technological University Singapore
2025 - 2026

Master of Science in Artificial Intelligence

Singapore

Pursuing advanced studies in AI with focus on cutting-edge artificial intelligence technologies and research.

Accenture
Jun 2024 - Jul 2025

Responsible AI Senior Analyst

Bengaluru, India

Developed novel solution to fine-tune Transformer model and published IEEE paper.
Worked with Pharmaceutical Company to overhaul AI Review process.
Developed RAI Quantitative Metrics for Finance Company.
Delivered multiple PoCs and e2e GenAI/LLM projects.
Accenture
Previous Role

Advanced Application Engineering Analyst

Developed e2e solutions using Generative AI LLM models.
Implemented CV functionality with custom CNN models using PyTorch.
Applied MLOps techniques using MLFlow, Docker and Postman.
OP Venture Cooperative
Mar 2024 - Mar 2025

CO Venture Fellow | Cohort 6

Participated in venture capital education and investment processes, collaborating on due diligence and working with early stage founders.

VentureOps
Oct 2020 - May 2021

President

Hackathon Lead for 'Hello World 4.0' (Oct 2020).
Developed Club Website - venturesityvit.github.io.
Centre of Excellence for Autonomous Vehicles Research
Aug 2019 - Feb 2020

Student R&D Engineer

Developed Computer Vision for Autonomous EV.
Developed optical flow for vehicle direction estimation.
Vellore Institute of Technology
2018 - 2022

Bachelor of Technology - Information Technology

CGPA: 8.22/10. Special Achiever's Award 2020-21.

Publications

Research contributions

Conference Paper IEEE Big Data 2024

Factual Accuracy Checking by Validating Numerical Values in Financial Summaries

Research contribution focusing on developing novel solutions for validating numerical accuracy in financial document summaries using advanced AI techniques. This work presents innovative approaches to ensure factual accuracy in financial reporting through automated validation systems.

AI/ML Financial Analysis Transformers Numerical Validation

Featured Projects

Innovation across AI/ML

NLP

Sentiment Analysis Dashboard

Engineered a sentiment analysis engine using key-phrase extraction and intelligent source filtering. Built a high-performance backend with Python and FastAPI, leveraging Groq LPU for real-time analysis.

FastAPI OpenAI Groq LPU
Responsible AI

Bias & Toxicity Detection

Trained and Fine-tuned Transformer Model for GenAI Toxic/Bias Data Detection. Developed advanced algorithms to identify and mitigate harmful content in AI-generated outputs.

Transformers Fine-tuning RAI
Document Intelligence

GenAI Q&A with Multi-Doc Extraction

Data Extraction using OCR techniques. Implemented Semantic Search Algorithm for relevant data identification. Dynamic Prompting and Summarization using GPT-3.5 Turbo.

OCR Semantic Search RAG
Computer Vision

Manufacturing Defect Detection

Trained Deep Learning Vision model for Vehicle Manufacturing Defect detection. Implemented computer vision algorithms to automatically identify manufacturing defects.

CV Deep Learning Quality Assurance

Awards & Honors

🏛️

HPAIR Delegate

Harvard College Project for Asian and International Relations

🏆

ACE Inspiring Innovator

Accenture

Innovation Excellence

Accenture

🔧

Technical Excellence

Accenture

🎓

Special Achiever's Award

VIT University

💻

Top 20 Prospect 100

Global Tech Innovation

Get In Touch

Let's Connect

Always open to discussing new opportunities and ideas.

Location: NTU, Singapore
Email: adityagoel1999@gmail.com