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Nikit Patel

🔧 Over 9 years of experience in Data Science & Machine Learning, delivering innovative, production-ready AI/ML solutions across diverse sectors (Publishing, E-commerce, BFSI, Manufacturing, Marketing).

🧠 Expertise in Generative AI, NLP, Metadata Extraction, and fine-tuning LLMs (LLaMA, Mistral, Falcon) for domain-specific use cases.

🤖 Built a Generative AI Interview Bot that generates contextual questions, evaluates candidate profiles, and integrates with Azure CI/CD pipelines for fully automated hiring workflows.

⚙️ Skilled in developing scalable APIs using FastAPI & Flask, and optimizing real-time and batch data pipelines.

🗂️ Strong hands-on experience with relational (PostgreSQL) and NoSQL (MongoDB, Elasticsearch) databases, focusing on performance tuning & large-scale querying.

☁️ Cloud-native deployment expert, proficient with Azure, AWS, GCP, Docker, Kubernetes, and CI/CD automation.


📈 Successfully delivered AI solutions for:

📦 Invoice metadata extraction

📊 CLTV & churn prediction

🧾 Citation metadata extraction (NER)

🔍 Semantic search engines (57M+ records)

🧬 3D model duplication detection (Stable Diffusion)


🚀 Performance benchmarking specialist, experienced in stress testing APIs, optimizing models, and system tuning under high-load environments.

💬 Excellent communicator, able to translate complex AI/ML concepts for non-technical stakeholders and align solutions with business goals.

📚 Lifelong learner, actively staying current with cutting-edge research (IEEE, MDPI, Scopus) and evolving AI/ML trends through platforms like Coursera and Linux Academy.

  • Role

    Agentic AI Engineer

  • Years of Experience

    9 years

Skillsets

  • Prompt Engineering
  • Microservices Architecture
  • Mistral
  • ML Pipelines
  • Model deployment
  • Model Monitoring
  • MongoDB
  • Named Entity Recognition
  • PostgreSQL
  • Predictive Modeling
  • LLMs
  • rag
  • Recommendation Systems
  • Regression
  • Retrieval-Augmented Generation
  • semantic search
  • SQL
  • Streamlit
  • Time-Series Forecasting
  • Classification
  • Azure
  • AWS
  • Python
  • GCP
  • Flask
  • AI Agents
  • anomaly detection
  • BigQuery
  • Ci/Cd Pipelines
  • Elasticsearch
  • Docker
  • Falcon
  • FastAPI
  • Kubernetes
  • LangChain
  • LangGraph
  • Layoutlmv2
  • LLAMA

Professional Summary

9Years
  • Mar, 2024 - Present2 yr

    Senior Data Scientist / Agentic AI Engineer

    Element Technologies
  • Apr, 2022 - Mar, 20241 yr 11 months

    Senior Data Scientist

    Cygnet Infotech
  • Aug, 2021 - Apr, 2022 8 months

    Senior Data Scientist

    Smart Senses Solutions
  • Jun, 2016 - Aug, 20193 yr 2 months

    Data Scientist

    Softweb Solutions
  • Aug, 2019 - Jul, 20211 yr 11 months

    Data Scientist

    Tatvic Analytics

Work History

9Years

Senior Data Scientist / Agentic AI Engineer

Element Technologies
Mar, 2024 - Present2 yr

Senior Data Scientist

Cygnet Infotech
Apr, 2022 - Mar, 20241 yr 11 months

Senior Data Scientist

Smart Senses Solutions
Aug, 2021 - Apr, 2022 8 months

Data Scientist

Tatvic Analytics
Aug, 2019 - Jul, 20211 yr 11 months

Data Scientist

Softweb Solutions
Jun, 2016 - Aug, 20193 yr 2 months

Major Projects

8Projects

AI Supply Chain Forecasting & Replenishment System

    Developed an AI-powered inventory forecasting and replenishment platform for supply chain optimization. Built demand prediction models using historical sales, POS data, and seasonal trends to automate purchase order generation and optimize SKU-level stock allocation. The system improved inventory visibility and reduced stockout risks through predictive analytics and automated decision workflows.

Supplier Risk Prediction Platform

    Designed a machine learning-driven vendor risk monitoring system that evaluates supplier reliability using internal procurement data and external financial signals. Implemented algorithms combining sentiment analysis, financial indicators, and supplier performance metrics to predict potential supply disruptions and delivery risks.

Generative AI Interview Automation Platform

    Developed an agentic AI interview system using LangChain and LangGraph that autonomously generates contextual interview questions and evaluates candidate responses. Implemented real-time scoring and job-profile matching, delivering automated hiring recommendations through scalable cloud-based deployment.

LLM-Based Meeting Intelligence Assistant

    Built a multi-agent AI system that converts meeting transcripts into structured outputs including summaries, MoMs, and action items. The system integrates with enterprise workflow tools and achieved 92% accuracy in task extraction, significantly improving meeting productivity.

Large-Scale Semantic Search Engine

    Designed a high-performance semantic search platform using embedding vectors for 57+ million records. Implemented vector similarity search to improve classification accuracy and enable fast, scalable retrieval of relevant results in enterprise applications.

Real-Time Social Media Feed Ranking System

    Developed an end-to-end machine learning ranking engine to optimize content feed relevance. Built feature pipelines, trained ranking models, and deployed scalable APIs capable of handling 1.7 million requests within 15 minutes with sub-second response times.

Document Intelligence & Invoice Entity Extraction

    Implemented a document AI pipeline using LayoutLMv2 and OCR to extract structured data from invoices and financial documents. The solution automated document processing workflows and improved accuracy in financial data extraction.

Predictive Lead Scoring and Customer Analytics Platform

    Developed predictive models for lead scoring, customer churn prediction, and CLTV estimation, enabling marketing teams to optimize campaign performance and improve customer targeting strategies.

Education

  • PhD Computer Engineering (Pursuing)

    GLS University School of Doctoral Research and Innovation

  • ME Information Technology

    Parul Institute of Engineering & Technology, GTU

  • BE Computer Engineering

    Hasmukh Goswami College of Engineering, GTU