Kalp Mota | Portfolio

Hi, my name is

I am a software engineer with expertise in Python, GenAI, and full stack development. Currently working at LTIMindtree, I have experience in Flask, FastAPI, Django and various tech stacks that I utilize to deliver optimized solutions.

Innovative and results-driven Full-Stack Developer with expertise in building scalable applications and leveraging Generative AI to solve complex problems. Skilled in Python, Java, HTML, CSS, JavaScript and Data Science, with a proven ability to design and deploy sophisticated solutions. Passionate about continuous learning, adapting to emerging technologies, and delivering excellence in dynamic environments.

💻 Programming Languages

☁️ Cloud Technologies

🗄️ Database Technologies

🔧 Frameworks

LTIMindtree - Aspect

LTIMindtree - Travelers

LTIMindtree - Aspect

LTIMindtree - Zendesk

LTI

September 2022 - April 2023

Developed AI-driven solutions for document processing, integrating Natural Language Processing (NLP), image classification, and table extraction.
Built custom ML and NLP models for City National Bank and Simon-Kucher & Partners, focusing on entity recognition, text processing, and data extraction.
Automated workflows using Python and AWS, optimizing data extraction, document parsing, and real-time processing.
Implemented key features to enhance document intelligence:
- Document Splitting: Segmented large files to improve data analysis and processing efficiency.
- Knowledge Nugget Extraction: Identified and highlighted key insights from documents.
- Sentiment Analysis: Applied NLP techniques to gauge contextual tone and enhance decision-making.
Designed and fine-tuned ML pipelines for object identification and text recognition, enhancing accuracy and scalability for large-scale document processing.

May 2023 - September 2023

Automated Data Conversion: Designed and implemented a Python-based automation tool to convert large volumes of insurance form data from Excel to JSON format. This streamlined data ingestion into the client’s digital ecosystem, reducing manual intervention and improving efficiency.
Dynamic PDF Population: Developed robust scripts to extract structured client data and dynamically populate insurance PDFs. This automation significantly reduced manual form-filling efforts, minimized human errors, and accelerated processing times.
API Integration & Workflow Automation: Engineered API-driven solutions to automate the ingestion of structured data into client databases. Integrated RESTful APIs to facilitate seamless data exchange between internal systems and third-party applications, ensuring real-time synchronization and data consistency.
Enhanced Document Processing: Implemented intelligent data extraction techniques to analyze and categorize insurance documents, leveraging Python-based parsing libraries. This enhancement improved accuracy in data retrieval, reduced processing errors, and enhanced overall document management.
Optimization & Scalability: Optimized the automation pipeline for scalability, allowing efficient processing of high-volume insurance forms. Reduced document processing time by leveraging multi-threading and efficient data handling techniques.

September 2023 - September 2024

Backend Development: Designed and implemented scalable backend solutions using Python, FastAPI, and Flask, ensuring high performance and efficient API interactions.
LLM & AI Integration: Integrated advanced Large Language Model (LLM) capabilities, incorporating features such as Optical Character Recognition (OCR), regex-based data extraction, and intelligent document post-processing to enhance text analysis.
ML Model Optimization: Improved efficiency and accuracy of text-processing machine learning models by optimizing hyperparameters and fine-tuning GPT-based models for document summarization and data extraction.
Custom API Development: Developed and maintained RESTful APIs for seamless data exchange between internal systems and third-party applications, ensuring optimized data filtering and retrieval tailored to client requirements.
Third-Party App Integration: Implemented third-party integrations to enhance system operability, improving platform functionality and responsiveness using asynchronous operations.
Async Processing & Performance Tuning: Implemented asynchronous operations to enhance system responsiveness and reduce API latency, improving the overall user experience for real-time data processing applications.
Custom Functionalities & Enhancements:
- Implemented duplicate annotation detection to prevent redundant processing.
- Fine-tuned LLM models for improved text processing and entity extraction.
- Developed custom scripts to interact with REST APIs, retrieving only client-required data while filtering out unnecessary information, improving data handling efficiency.
Data Handling & Pipeline Automation: Built automation scripts to streamline document workflows, reducing manual intervention and improving processing efficiency for high-volume data extraction tasks.

October 2024 - Present

Backend Development: Building and maintaining scalable backend solutions using Python, Flask, and FastAPI to support high-performance applications.
API Development & Integration: Designing and implementing RESTful APIs while integrating third-party applications to enhance product functionality.
Cloud & Database Management: Leveraging AWS for cloud-based deployments and optimizing SQL databases for efficient data storage and retrieval.
System Optimization & Performance: Collaborating with cross-functional teams to improve system performance, maintain high code quality, and solve complex backend challenges.

July 2022 - September 2022

Completed an intensive 3-month training program on Informatica, gaining hands-on experience in data integration, transformation, and ETL processes.
Developed strong proficiency in data management and migration strategies, optimizing data flow between various systems.
Acquired practical experience in SQL, Python, and Java through training and project-based assignments.

Smart-Resume-Parser is an AI-powered Resume ATS Checker & Chatbot using Flask, React.js, and LLMs to generate AI-enhanced resume and insights.
Key Features: Extract Resume info from PDF & DOCX, Check ATS Compatibility, Optimize Resume using AI, Generate ATS-Friendly Resume (DOCX/PDF) and AI Chatbot using Vector DB

LLAMA-3-70b
Gemini
Flask
Python
VectorDB
PyMuPDF
React.js
Axios
Prompt-Engineering

NomadNavigator is an AI-driven travel recommendation system using RAG, embeddings, and LLMs to generate personalized travel insights. It employs FAISS for similarity search and handles queries beyond its database.
Key Features: Smart search, AI-powered recommendations, and seamless query handling.

LLAMA-3-70b
RAG
Flask
Python
VectorDB
SQLite
Prompt-Engineering

A machine learning project to predict residential property prices in Bangalore using regression techniques.
Key Features: Data Analysis, Price Prediction, Feature Importance, Web Interface, Scalable: Handles 10,000+ data points efficiently

Flask
Python
JavaScript
HTML
CSS
Matplotlib
Seaborn
AWS
Pandas
NumPy
Scikit-learn

A full-stack food ordering web application built with Django. Manage menus, process orders, and track user interactions.
Key Features: User Authentication, Menu Management, Cart System, Order Tracking, Admin Dashboard, Responsive Design

Django
Python
PostgreSQL
Heroku
Git

A WhatsApp chatbot for handling customer interactions and cake orders. Built with Flask , Twilio and MongoDB.
Key Features: Customer Support Options,Cake Order System,Choose from cake options and provide address,Order Tracking,Conversation History,State Management.

Flask
Python
MongoDB
Twilio
Heroku
Git
WhatsApp

A Python-based Telegram bot that provides weather forecasts and demonstrates various Telegram Bot API features.
Key Features: Interactive Commands:/start - Welcome message,/option - Inline keyboard buttons,/location - Request location sharing , Weather Forecast, Message Echo, Callback Queries

Python
Telegram
OpenWeatherMap
Git

What's next?

Although I'm not currently looking for any new opportunities, my inbox is always open. Whether you have a question or just want to say hi, I'll try my best to get back to you!

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