Ayush Dadhich

AI Researcher

North Guwahati, Assam, India2 yrs 2 mos experience

Key Highlights

Hands-on experience in NLP and Computer Vision.
Developed scalable AI systems for diverse applications.
Interned at leading firms like KPMG and InfoEdge.

Stackforce AI infers this person is a skilled AI/ML Engineer with expertise in NLP and Computer Vision for SaaS applications.

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Skills

Core Skills

Computer VisionMachine LearningNatural Language Processing (nlp)Sentiment Analysis

Other Skills

AdvertisingAnalytical SkillsBERT (Language Model)Deep LearningEngineeringEvent ManagementEvent Marketing StrategyEvent PlanningExploratory Data AnalysisFlaskFundamental AnalysisHosting EventsHugging Face ProductsOptical Character Recognition (OCR)Python

About

I am an AI/ML Engineer and a Chemical Engineering student at IIT Guwahati with hands-on experience in NLP, Computer Vision, and Deep Learning. I’ve built and deployed projects ranging from CV parsers, sentiment analysis systems, and RAG applications to GAN-based image colorization. I’ve interned at InfoEdge, where I fine-tuned Vision Transformer models for extracting structured data from 100,000+ CVs, and at KPMG, where I created a custom GPT-based QA API and enhanced sentiment analysis pipelines. I enjoy converting ideas into real, scalable AI systems whether it's document intelligence, trading models, or LLM-powered applications. Looking for opportunities in ML, Data Science, NLP, AI Engineering, and applied research.

Experience

Info edge india ltd

Data Science Intern

May 2025 – Jul 2025 · 2 mos · Noida, Uttar Pradesh, India · On-site

Built a vision-based CV parser with 3-4s latency per CV, handling 15% image-based resumes previously discarded.
Processed and transformed over 100,000 CVs into a structured corpus, improving extraction with 23% higher accuracy.
Fine-tuned the Vision Grid Transformer (VGT) for state-of-the-art structured extraction from 50+ CV formats.

Natural Language Processing (NLP)Computer VisionDeep LearningPythonMachine Learning

Kpmg india

Data Science Trainee

May 2024 – Jul 2024 · 2 mos · Gurugram, Haryana, India · Hybrid

Worked on sentiment analysis using data science techniques, from logistic regression to advanced Hugging Face models.
Incorporated audio input, enhancing project capabilities, and developed an interactive GUI with Tkinter.
Created a custom API using Flask with a GPT-based model for dynamic QA responses.

Natural Language Processing (NLP)Sentiment AnalysisPythonFlaskHugging Face Products