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Resume

Experience

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HP Param IT Solutions Pvt. Ltd.

Anand, Gujarat, India

Machine Learning Intern

Dec 2024 - May 2025

Overview: Focused on building applied AI solutions for enterprise data, specifically designing natural language processing pipelines and deploying sequence models for automated classification tasks.

Key Contributions:

  • NLP & Deep Learning: Developed a Smart Email Classification System utilizing sophisticated NLP pipelines and LSTM neural networks, achieving ~90% classification accuracy.

  • Data Architecture: Executed extensive Exploratory Data Analysis (EDA) and feature engineering on enterprise databases to optimize model input and ensure real-world applicability.

  • Deployment: Collaborated cross-functionally to integrate these predictive models directly into live project environments, establishing robust data handling protocols for production use.

  • Tech Stack Highlights: Deep Learning, LSTM, Natural Language Processing (NLP), Exploratory Data Analysis (EDA).

InnoBrain Technologies

Anand, Gujarat, India

Backend Engineering Intern

Key Contributions:

  • API Architecture: Developed robust backend APIs to streamline data flow between servers and client applications, ensuring secure and scalable data handling.

  • Data Pipelining: Optimized database queries and data structuring to improve system response times, utilizing the core engineering fundamentals required to build efficient AI and ML data pipelines.

  • ​Tech Stack Highlights: Backend Architecture, API Integration, Database Structuring.

June, 2024 - July 2024

Overview: Gained experience in modular development and managing project workflows, which enhances teamwork in data-centric projects.

TechnoGuide Infosoft Pvt. Ltd.

Anand, Gujarat, India

Backend & Database Engineering Intern

May, 2023 - June 2023

Overview: Tasked with optimizing core backend infrastructure, focusing on database efficiency and external data integration for live client applications.

  • Key Contributions:

  • System Optimization: Engineered and maintained backend web applications, successfully integrating external APIs via PDO to ensure seamless and secure data pipelines.

  • Performance Scaling: Overhauled and optimized database architecture and execution logic, effectively reducing query response times by 40% and significantly enhancing overall system efficiency.

  • Production Deployment: Contributed critical backend logic to 2 live projects, ensuring robust feature deployment and system stability while collaborating directly with the design team.

  • Tech Stack Highlights: Database Optimization, API Integration (PDO), Systems Architecture, SQL.

Education

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SVKM’s NMIMS Mukesh Patel School of Technology Management & Engineering (MPSTME)

Master of Technology (M.Tech) in Artificial Intelligence

Mumbai, Maharashtra, India | July 2026 – Present

2026 - 2028

CGPI: 

  • Focus Areas: Generative AI, Large Language Models (LLMs), Machine Learning Operations (MLOps), and Intelligent Decision Support Systems.

BIRLA VISHVAKARMA MAHAVIDYALAYA

Bachelor of Technology, Computer Engineering

V. V. Nagar, Anand, Gujarat, India

2021 - 2025

CGPI: 8.84

  • Pursued B.Tech with a focus on software development, data structures, algorithms, and system design.

  • Completed key courses in Machine Learning, DBMS, Operating Systems, and Data Structures.

  • Actively involved in projects and technical activities to enhance problem-solving and programming skills.

  • Currently working on a semester-long external project involving industry level experience and collaborating with them.

R. P. T. P. SCIENCE SCHOOL (HIGHER SECONDARY)

Gujarat HSC Board, Science Stream

V. V. Nagar, Anand, Gujarat, India

2019 - 2021

PERCENTAGE: 90.61%

Technical Expertise & Core Competencies:

 

Advanced Artificial Intelligence:

  • Large Language Models (LLMs) & Generative AI

  • Natural Language Processing (NLP) & Text Mining

  • Sequence Modeling (LSTMs/RNNs)

  • Predictive Analytics & Tabular Data Classification

​

Finance AI & Regulatory Compliance:

  • Credit Risk Modeling & Dual-Branch Architectures

  • Model Explainability (XAI) using SHAP & Counterfactuals

  • Algorithmic Fairness Auditing & Demographic Parity

  • Enterprise Compliance (EU AI Act, ECOA, Basel III IRB, GDPR)

​

MLOps & Edge Deployment:

  • Parameter-Efficient Fine-Tuning (PEFT/QLoRA)

  • Model Lifecycle Management & CI/CD for Machine Learning

  • Real-Time Computer Vision & Edge Processing

  • Hardware Acceleration (CUDA)

​

Frameworks & Libraries:

  • Deep Learning: PyTorch, TensorFlow, Keras, Hugging Face

  • Machine Learning: LightGBM, Scikit-learn

  • Data Science: Pandas, NumPy

  • Web/Deployment: Flask, Streamlit

​

Programming & Database: 

  • Languages: Python, C++, SQL

  • Databases: MySQL, PostgreSQL, MongoDB, Microsoft SQL Server

  • API Integration: RESTful APIs, PDO

​

Infrastructure & Tools:

  • Version Control & Containerization: Git, GitHub, Docker

  • Hardware: NVIDIA Jetson Orin NX, NVIDIA Jetson Nano

Languages:

English (Proficient)

Hindi (Native)

Gujarati (Native)

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