I'm an AI/ML Engineer from Moradabad, UP, India β obsessed with turning research-grade ideas into production-grade systems. My work spans the complete ML lifecycle: raw data ingestion, model training, prompt engineering, RAG pipeline design, agentic orchestration, and end-to-end deployment.
- π Shipped: PolySensor β a live agentic AI platform processing 108+ file formats with RAG-powered content intelligence
- π¬ Shipped: ACMA β a deployed multimodal content moderation system (F1: 0.91)
- π§© Advisory: Designed enterprise AI architecture across 4 business functions for CL Gupta Exports Ltd.
- π Research habit: I read ML papers and translate findings directly into project implementations
- π₯ Off the screen: 8Γ Gold Medalist in Speed Skating β discipline on ice, precision in code
aditya = {
"LLMs & Agentic AI" : ["LangChain", "LangGraph", "Google Gemini API", "OpenAI API", "Hugging Face"],
"ML & Deep Learning" : ["PyTorch", "TensorFlow", "Keras", "Scikit-learn", "CNN", "YOLOv8"],
"NLP & Multimodal" : ["RAG", "ChromaDB", "OCR (Tesseract/EasyOCR)", "Speech Recognition", "NER"],
"Data & Pipelines" : ["Pandas", "NumPy", "Matplotlib", "Seaborn", "ETL Design", "SQL/SQLite"],
"Backend & Deployment": ["Flask", "FastAPI", "Docker", "Vercel", "Render", "Nginx", "Git"],
"Currently exploring" : ["Advanced Agentic Architectures", "LLM Fine-tuning at Scale"]
}
π΅ PolySensor Β· Live βAgentic AI Β· Multimodal Β· Production Deployed End-to-end agentic pipeline that ingests and analyses 108+ file formats β documents, images, audio, video β with multi-agent orchestration via LangChain.
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AI Content Moderation Β· CNN + NLP Β· Final Year Project Multimodal content moderation system detecting toxic, inappropriate and violent content across text, images, audio and video.
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Advisory Β· CL Gupta Exports Ltd. Β· 2026 Comprehensive AI integration across 4 business functions for a mid-size export manufacturing firm.
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π’ ML Internship @ CodSoft Β· CertificateProduction ML Β· 3 Domains Β· 50,000+ Records Built and evaluated three production-ready ML models across distinct problem types.
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| Certification | Issuer | Year |
|---|---|---|
| π Python for Data Science | IBM | 2023 |
| π€ Data Science & Machine Learning | ShapeMySkills | 2023 |
| π Machine Learning | NPTEL / IIT Kharagpur | 2022 |
| ποΈ Database Management Systems | NPTEL / IIT Kharagpur | 2023 |
| β Java Programming | NPTEL / IIT Kharagpur | 2021 |
