Looking for a job

Shivam Dubey

@shivamdubey1

AI/ML Engineer · Building LLM & RAG Systems in Production · GenAI | LangChain | Computer Vision | Python · Open to AI/ML, Data Science & GenAI roles.

India

Message

What I'm looking for

What I'm focused on:
→ AI / ML Engineering.
→ Generative AI & LLM Engineering.
→ Data Science & NLP.
→ Computer Vision

I build AI systems that work in production — not just in notebooks.

Over the past 16+ months across 4 internships and independent projects, I've shipped end-to-end AI applications involving LLMs, Retrieval-Augmented Generation (RAG), LangChain pipelines, Computer Vision, Voice AI, and OCR — with measurable outcomes: 92% scene-classification accuracy, 40% improvement in context relevance, 95% OCR extraction accuracy, and 18% boost in fraud-detection precision.

My core stack: Python · LangChain · FAISS · Vector Databases · Groq API · HuggingFace Transformers · YOLOv8 · OpenCV · FastAPI · Streamlit · scikit-learn · PyTorch.

What I'm focused on:
→ AI / ML Engineering.
→ Generative AI & LLM Engineering.
→ Data Science & NLP.
→ Computer Vision.

I care about building things that are robust, scalable, and actually useful to real users. I'm an immediate joiner, based in Delhi NCR, and open to on-site, hybrid, or remote roles at teams serious about AI.

Top skills

Natural Language Processing (NLP) • Machine Learning • Data Analytics • TensorFlow • Google Data Studio • • Data Science • sql • Gen-AI •Langchain •langGraph • Deep learning •python •postgresSQL•LLM • RAG• Prompt engineering •opencv •huggingface •aws (basic)

Experience

Work history, roles, and key accomplishments

Current

Artificial Intelligence Engineer

Current

Recruweb

Apr 2026 - Present (3 months)

Built production-grade AI features to power automated recruitment workflows, including LLM integration and retrieval pipelines. Architected end-to-end GenAI solutions using LangChain and vector databases to reduce manual screening time for the team.

LLM Integrations Lang Chain Retrieval Pipelines Vector Databases GenAI Solution Architecture Automated Recruitment Workflows Production AI Development AI Screening Automation

Data Science with GenAI Intern

innomatics research labs

Sep 2024 - Jan 2025 (4 months)

• Developed a GenAI assistant for visually impaired users using LangChain and Google Generative AI, achieving92% scene classification accuracy. • Built RAG-based applications with Gemini 1.5 Pro, improving context relevance of AI-generated responsesby40%.

Python Machine Learning Machine Learning Frameworks Machine Learning Pipelines Generative AI Deep Learning NLP Machine Learning

AI/ML Intern

Antihak.AI

Jan 2024 - May 2024 (4 months)

Assisting in data collection, preprocessing and cleaning. Implementing and testing machine learning algorithms. Working closely with the team to gain hands-on experience in conducting AI/ML models.

Python Machine Learning Computer Vision PyTorch Data Analysis Data Modeling NLP

Data Science Intern

Suvidha Foundation

Dec 2023 - Jan 2024 (1 month)

Worked on projects related to NLP, DL, and ML. Trained a Seq2seq model and participated in the Coding Battle- Code-e-Jung with Celebal.

NLP Deep Learning Machine Learning Python

ML Trainee

CETPA Infotech Pvt. Ltd.

Jun 2022 - Sep 2022 (3 months)

Implemented and evaluated supervised ML algorithms on real datasets, achieving average model accuracy of 87%. Built data-cleaning pipelines with experiment tracking and performance reporting, and documented models for deployment-ready handoffs.

performance reporting Pandas scikit learn Python Supervised Machine Learning Deep Learning Data Cleaning Pipelines Experiment Tracking Model Evaluation Performance Reporting

Education

Degrees, certifications, and relevant coursework

Galgotias University

Computer Science Engineering, Computer Science Engineering

2020 - 2024

Grade: 7.91

Activities and societies: Python; Machine Learning Algorithms; additional skills (not specified).

Completed Computer Science Engineering at Galgotias University from Nov 2020 to Nov 2024, achieving a grade of 7.91. Coursework included Python and Machine Learning algorithms.