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Wahid A. AI, Generative AI and LLM Platforms

My name is Wahid A. and I have over 2 years of experience in the tech industry. I specialize in the following technologies: Retrieval Augmented Generation, Large Language Model, LangChain, FastAPI, LLM Prompt Engineering, etc.. I hold a degree in Bachelor of Computer Applications, Bachelor's degree. Some of the notable projects I've worked on include: Clause-Level Legal RAG Pipeline with Zero-Hallucination Workflow, Custom AI chatbot with multiple LLMs and vector DBs for business use, ChatBot, Diabetes, Heart Disease. I am based in Ludhiana, India. I've successfully completed 5 projects while developing at Softaims.

Information integrity and application security are my highest priorities in development. I implement robust validation, encryption, and authorization mechanisms to protect sensitive data and ensure compliance. I am experienced in identifying and mitigating common security vulnerabilities in both new and existing applications.

My work methodology involves rigorous testing—at the unit, integration, and security levels—to guarantee the stability and trustworthiness of the solutions I build. At Softaims, this dedication to security forms the basis for client trust and platform reliability.

I consistently monitor and improve system performance, utilizing metrics to drive optimization efforts. I'm motivated by the challenge of creating ultra-reliable systems that safeguard client assets and user data.

Main technologies

  • AI, Generative AI and LLM Platforms

    2 years

  • Retrieval Augmented Generation

    1 Year

  • Large Language Model

    1 Year

  • LangChain

    1 Year

Additional skills

  • Retrieval Augmented Generation
  • Large Language Model
  • LangChain
  • FastAPI
  • LLM Prompt Engineering
  • AI Agent Development
  • AI App Development
  • Vector Database
  • Pinecone
  • Generative AI Software
  • Agent GPT
  • Graph Database
  • AI Bot
  • LLM

Direct hire

Potentially possible

Previous Company

AiCodeCraft

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Experience Highlights

Clause-Level Legal RAG Pipeline with Zero-Hallucination Workflow

Designed a clause-level Legal RAG pipeline that transforms large compliance documents into accurate, zero-hallucination answers. Built hybrid retrieval (dense + BM25 + rerankers), metadata filtering,

Custom AI chatbot with multiple LLMs and vector DBs for business use

Built a powerful AI chatbot using RAG (Retrieval-Augmented Generation) integrated with OpenAI, Gemini & Hugging Face. Users can upload documents, which are embedded and stored using Pinecone, FAISS, o

ChatBot

Built a FastAPI-based chatbot using Hugging Face, LangChain, and Pinecone to help employees quickly find company policies. It processes user queries, retrieves relevant documents via vector search, an

Diabetes

Diabetes prediction project in python, Preprocessed data and selected the best model and deployed using tkinter [Desktop Application]

Heart Disease

Heart Disease For this exercise we will be using a subset of the UCI Heart Disease dataset, leveraging the fourteen most commonly used attributes. All identifying information about the patient has b

Education

  • CT University at Sidhwan Khurd Ludhiana, Punjab

    Bachelor of Computer Applications in

  • Punjab Agriculture University , Ludhiana, Punjab

    Bachelor's degree in

Languages

  • English (Native or Bilingual)