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SURENDRA KUMAR

I am a motivated final-year Bachelor of Technology student at the Indian Institute of Information Technology, Una, Himachal Pradesh, India, specializing in Electronics and Communication Engineering. With a cumulative grade point average of 8.79, I have demonstrated academic excellence and a steadfast commitment to learning, particularly in the areas of machine learning and deep learning.

My enthusiasm for artificial intelligence and deep learning has propelled me to acquire practical experience through internships and projects. At Panora in Singapore, I played a pivotal role in the development of an AI-powered decentralized finance aggregator and in optimizing large language models. During my internship at Sphinx Worldbiz Ltd., I contributed to innovative projects, including chatbot development utilizing large language models and computer vision-based document verification.

In addition to my internships, I have actively participated in research, presenting papers in esteemed journals as a research intern at the Indian Institute of Technology Mandi. My technical expertise encompasses Python, TensorFlow, PyTorch, and various deep-learning libraries. I have also implemented practical projects, such as a conversational AI chatbot and a driver drowsiness detection system employing computer vision.

  • Role

    Agentic AI Engineer

  • Years of Experience

    3 years

  • Professional Portfolio

    View here

Skillsets

  • Linux
  • SVM
  • ViT
  • K-Means
  • MLFlow
  • Scikit-learn
  • Bash scripting
  • Chroma db
  • FAISS
  • LangChain
  • LangGraph
  • Streamlit
  • OpenAI
  • Qdrant
  • Shell
  • AWS
  • Git
  • Llama Index
  • n8n
  • Pinecone
  • Redis
  • Zapier
  • FastAPI
  • Java - 2 Years
  • Python - 3 Years
  • GCP - 1 Years
  • PyTorch - 2 Years
  • TensorFlow - 2 Years
  • OpenCV - 2 Years
  • Transformers - 1 Years
  • Cnn - 3 Years
  • decision tree
  • Docker
  • MySQL - 1 Years
  • Flask
  • Gru
  • Keras
  • kNN
  • LSTM
  • PCA
  • Random Forest
  • Rnn
  • SQL

Professional Summary

3Years
  • Jul, 2025 - Present 8 months

    Agentic AI Engineer

    Prozo
  • Dec, 2024 - Jul, 2025 7 months

    AI Intern

    Infilect
  • Aug, 2024 - Dec, 2024 4 months

    AI development Intern

    Panora
  • Sep, 2023 - Feb, 2024 5 months

    Deep Learning Research Intern

    IIT Mandi
  • Feb, 2024 - Jul, 2024 5 months

    Machine Learning Intern

    Sphinx Worldbiz

Applications & Tools Known

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    RAG

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    FastApi

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    OCR

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    SQL

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    OpenAI

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    Vector Databases

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    Scikit-Learn

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    Python

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    NumPy

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    Pandas

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    Matplotlib

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    Seaborn

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    BeautifulSoup

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    Streamlit

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    Google Colab

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    Keras

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    OpenCV

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    GitHub

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    Docker

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    MySQL

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    Qdrant

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    PyTorch

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    Transformers

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    LLM

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    FastAPI

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    Flask

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    YOLO

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    WebSocket

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    OpenAI

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    GCP

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    Azure

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    Chroma DB

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    LLM

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    OCR

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    OpenAI

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    GCP

Work History

3Years

Agentic AI Engineer

Prozo
Jul, 2025 - Present 8 months
    Built end-to-end agentic AI workflows for automated lead enrichment, qualification, and multi-channel outreach (Email, WhatsApp, LinkedIn), integrated with HubSpot CRM, improving lead throughput and engagement tracking. Built a Computer Vision-based tool that reduced a 20-day manual catalog verification process to 10-12 hours, leveraging OpenCV, YOLOv8, PaddleOCR, and automation pipelines. Automated agreement risk analysis using semantic embeddings (Sentence Transformers, FAISS) and LLM-based agreement generation, accelerating document processing and review. Collaborated with marketing and operations teams to identify high-impact manual workflows and convert them into AI-driven automation pipelines, achieving measurable time savings and process consistency.

AI Intern

Infilect
Dec, 2024 - Jul, 2025 7 months
    Leveraged advanced GenAI models (LLMs & VLLMs) to build intelligent FMCG retail systems for product pricing, promo detection, and data tagging automation. Trained and optimized ResNet, MMDetection, and Detectron2 models for classification, detection, and segmentation. Engineered OSA & SOS analytics pipelines to monitor product availability and analyze shelf share, enhancing retail insights. Streamlined AI workflows employing Docker, facilitating scalable model deployment and operational efficiency.

AI development Intern

Panora
Aug, 2024 - Dec, 2024 4 months
    Constructed an AI-powered DeFi aggregator on the Aptos blockchain to enhance global accessibility and user experience. Fine-tuned LLMs to enable swift prompt-driven DeFi transactions, achieving a 30% improvement in processing speed. Developed autonomous agents using LangGraph and LangChain, orchestrating real-time API interactions and facilitating intelligent decision-making. Designed a retrieval-augmented generation (RAG) pipeline that improved DeFi information retrieval efficiency by 25%.

Machine Learning Intern

Sphinx Worldbiz
Feb, 2024 - Jul, 2024 5 months
    Created and deployed LLM-powered chatbots, RAG pipelines, and diffusion models for enhanced text and image generation, driving a 40% surge in user interaction. Developed real-time APIs utilizing FastAPI, Flask, and WebSockets, focusing on NLP for automated SQL query generation. Engineered a real-time document verification system using computer vision and OCR, reducing verification time by 30%. Built an Applicant Tracking System, optimizing the hiring process by 20% and improving candidate screening efficiency.

Deep Learning Research Intern

IIT Mandi
Sep, 2023 - Feb, 2024 5 months
    Published two Q1 journal papers (Scientific Reports, PLOS ONE) on olfactory research using ML/DL methodologies. Developed and refined deep learning models with PyTorch and TensorFlow, undertaking multi-label classification tasks in olfactory research and revealing critical data patterns using dimensionality reduction and clustering analysis. Applied ML and DL models and enhanced their interpretability using explainability tools such as Grad-CAM++ and SHAP.

Achievements

  • LeetCode: Solved 150+ problems
  • Two Research papers published in recognized journals.
  • LeetCode

Major Projects

3Projects

Restaurant Reservation System

Oct, 2025 - Oct, 2025
    Developed an AI-powered restaurant reservation system using llama-3.3-70b-instruct, enabling natural language booking and real-time availability across 50+ locations. Engineered a from-scratch intent-driven tool-calling architecture for dynamic restaurant search, booking, and context-aware dialogue. Built modular Python backend components and a Streamlit-based user interface.

Code Assistant Agent

Apr, 2025 - Apr, 2025
    Built an agent using LangGraph and Mistral LLM for iterative, graph-based code generation with self-correction. Applied Pydantic models for structured code output and implemented a two-stage validation pipeline for imports and runtime errors.

Continuous Training and Deployment Pipeline for Sentiment Analysis

Oct, 2024 - Oct, 2024
    Built an automated pipeline for sentiment analysis using bert-base-uncased, integrating FastAPI and MLflow to monitor, retrain, and deploy updated models. Implemented staleness detection and batch processing to optimize cost and latency, with model versioning and rollback.

Education

  • Bachelor of Technology in Electronics and Communication Engineering

    Indian Institute of Information Technology, Una (2025)

Certifications

  • Nlp course by hugging face

  • Master deep learning for computer vision in tensorflow

  • Generative ai with large language models by coursera

  • Computer vision in tensorflow

  • Generative ai with llms

  • Deep learning specialization

  • Deep Learning Specialization

    Coursera (Aug, 2024)

    Credential URL : Click here to view

Interests

  • Travelling
  • Badminton