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Aniket — Mid-Level AI Engineer from India

Aniket

Mid-Level AI Engineer

India 2-3 years
Open to offersNew to Platform
Languages
English
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About

Aniket S. is an accomplished AI Engineer with over 3.2 years of experience in building comprehensive Generative AI systems tailored for enterprise applications. Demonstrating expertise in Machine Learning and Generative AI, he has successfully developed RAG pipelines, multi-agent workflows, and conversational AI platforms. During his tenure at leading organizations such as Netsmartz Infotech and AWP Assistance Pvt. Ltd., he delivered robust AI solutions, including domain-specific chatbots and real-time voice assistants. Aniket has a proven track record of employing tools like Python, FastAPI, and LangChain to create scalable AI applications. His educational background from CSVTU University underscores his technical proficiency, as evidenced by his impressive B.Tech GPA of 8.4/10. Aniket's commitment to innovation extends to projects like the Code Assistant Chatbot and Pet Disease Classifier, improving operational efficiencies and achieving significant performance metrics.

Experience

  • Software Engineer - AI / ML

    Netsmartz Infotech Limited · 2023 — 2025
    Developed domain-specific chatbots leveraging OpenAI and LangChain. Created RAG pipelines utilizing Pinecone and FAISS aimed at enhancing low-latency for enterprise chatbots. Engineered multi-agent systems with LangGraph for creating context-aware and access-controlled workflows. Designed real-time voice assistants using OpenAI Realtime API, Twilio, and LiveKit, achieving a 25% reduction in latency.

  • AI-Engineer

    AWP Assistance Pvt. Ltd. · 2025 — 2025
    Designed RPA workflows in UiPath to facilitate the automation of repetitive business functions and enhance operational efficiency. Worked closely with business teams to pinpoint automation opportunities, refine existing bots, and ensure scalability.

  • Data-Scientist

    AVL BIG DATA · 2025 — Present
    Engineered multi-agent frameworks through LangGraph to support context-aware multi-turn conversations and manage access-controlled sub-agent interactions. Developed an LSTM Auto Encoder model for industrial sensor data aimed at performing anomaly detection.

Skills & Expertise

AI and Data ScienceMLS (Multiple Listing Service)AI Engineer

Education

  • Bachelor of Technology
    CSVTU University · — — 2023
  • Intermediate
    St. Francis Senior Secondary school · — — 2019
  • High school
    St. Francis Senior Secondary School · — — 2017