🧠 AI/ML Engineer @ IBM
🔍 Full-stack AI Engineer | RAG, Agents, LLMs, Search
🚀 Solving real-world problems with Machine Learning and Generative AI
💡 Passionate about building AI systems that actually ship and scale

I specialize in crafting intelligent systems using modern AI techniques. My work spans enterprise-grade LLM applications, Retrieval-Augmented Generation (RAG), agentic workflows, vector search, and scalable backend APIs.

• 🔭 Solving AI problems for healthcare, banking, and telecom clients @ IBM
• 🧱 Strong full-stack background: FastAPI, Spring Boot, React
• 📚 Research interests: RAG architectures, multi-agent collaboration, KG-RAG
• 📫 Email: adityamahakali@gmail.com
• 🌐 Website: https://adityamahakali.vercel.app

A modular, probabilistic, and research-grounded AI content detection library. Veridex is a production-ready library for detecting AI-generated content across multiple modalities: text, image, and audio. Unlike binary classifiers, Veridex provides probabilistic detection with confidence estimates and interpretable signals.

🔗 GitHub: https://github.com/ADITYAMAHAKALI/veridex
📘 Docs: https://adityamahakali.github.io/veridex/

IBM — Bangalore
August 2023 – Present

• Delivered full-stack Generative AI MVPs using Watsonx for 12+ enterprise clients
• Architected LLM-powered assistants, summarizers, and agentic systems
• Built internal tools like OnePagerPro and a Code Vulnerability Scanner
• Contributed to research on RAG, KG-RAG, and multi-agent workflows

Hughes Systique Corporation — Gurugram
Jan 2023 – Aug 2023

• Built LLM PoCs over private data using Milvus, Chroma, and LangChain
• Delivered a Spring Boot + React + Docker application for production use

• 🧠 ElasticSQL — Semantic + SQL RAG with query classification and reranking
• 💬 Virtual Banking Assistant — Conversational RAG using Watsonx + React
• 🛒 Retail NL2SQL Assistant — Disambiguation-aware text-to-SQL system
• 🧾 FDA Product Summarizer — Search + summarization using watsonx.ai
• 📄 DocGen & KG-RAG — Ontology extraction and document generation (Neo4j)
• 🧑‍⚕️ MedBot (HyDe) — Hypothetical document embeddings for QA
• 📰 Daily Paper Summarizer — Agent-based academic summarization (Gemini)

➡️ https://github.com/ADITYAMAHAKALI?tab=repositories

MCA, Computer Science
Jawaharlal Nehru University (2021–2023) — 7.65/9

BSc, Computer Science
Central University of Rajasthan (2018–2021) — 7.74/10

Exams Cleared
GATE CS (2023) • UGC-NET CS (2023) • IIT JAM Math (2021) • JNUEE (2021)

SEARCHD: Advanced Retrieval with Text Generation Using LLMs and Cross-Encoder Re-ranking
IEEE — October 23, 2024
▶️ RAG evaluation across accuracy, faithfulness, and relevance
Read Publication

• 📧 Email: adityamahakali@gmail.com
• 📍 Bangalore, India
• 🌐 Website: https://adityamahakali.vercel.app
• 📝 Resume: https://rxresu.me/adityamahakali/aditya-mahakali
• 💼 LinkedIn: https://www.linkedin.com/in/aditya-mahakali-b81758168/

Code with purpose. Engineer with empathy. Build with impact.

© 2026 Aditya Mahakali