tusharlaad.com

I'm Tushar! (he/him)

I build data systems & innovative solutions

About

Mission

I am a data engineer who transforms complex data challenges into elegant, scalable solutions.

I believe in choosing innovation over safety––building systems that don't just work, but push boundaries.

Testimonials

  • Hats off to Tushar. He is quite young (as far age is concerned). There are two reasons why you should be hiring him: Non-technical side: He is as committed as one can be. Deadlines, responsibilities, commitment on deliveries: he would do a realistic job of it and deliver. Technical side: his resume speaks for itself. he started as a website developer (wordpress), took on data engineer role, built APIs for us (with team leader involved). He performed beautifully. Followed best practices of coding, used Github Co-pilot, conducted trainings for his team members. Enforced good documentation practices. I am sure there is more he has done. Srujan Patil from our team will be able to share more. He has worked with him a lot as well. For some part, he was reporting to Srujan directly. To summarize, Tushar has the inherent interest, curiosity to solve problems, do good for the company. I would like to share the incident when we assigned him first labeling/machine learning project. He came back not only with solution but alternative approaches, pros and cons and all documented well. Please do not hire him because we would like to hire him back when he graduates. Just kidding, folks.
    –Vinay Mehendi, PhD,CEO - Chief Frog at OceanFrogs Software
  • I worked with Tushar for over a year at OceanFrogs, where we collaborated on several data engineering projects. Tushar is a hardworking, passionate engineer. He has excellent skills at building Data Pipelines, REST APIs, and Docker. He is always eager to learn new tools and frameworks and has a knack at experimenting. Tushar is also a great team player who communicates effectively and shares knowledge generously. I highly recommend Tushar, as he would be a valuable asset to any organization.
    –Srujan P,Product & Engineering Manager at OceanFrogs
  • Tushar is an excellent developer and data engineer with extensive experience in data scraping, data mining, data labeling, data analytics and ML. He is also Extremely proficient in web development. He is a very quick learner and has gained a lot of experience in database management over the last year ranging from CRUD operations on the database to advanced SP creations. His job profile has also ensured his proficiency in integrating python based programs with SQL databases. He has also gained experience in API development and deployment using Docker over the last couple of months. He is very cooperative and easy to work with. Very proactive in taking up problems and coming up with novel solutions for them. Extremely hardworking with an exceptional work ethic.
    –Pranjal Upadhyaya,SDE at Astuto
  • Having had the pleasure of working with Tushar, I can attest to his exceptional work ethic, collaborative spirit, and outstanding performance. His commitment to excellence is evident in the meticulous attention to detail and unwavering determination he brings to every task. What truly sets Tushar apart is his exceptional teamwork and interpersonal skills. Tushar is a unifying presence in our team, always ready to lend a hand, share knowledge, and support their colleagues. Their collaborative approach fosters a productive and positive work environment, making him an invaluable member of our team. One standout moment that exemplifies Tushar's technical acumen and innovative thinking occurred during a critical phase of our chat system project. We were faced with the complex challenge of implementing end-to-end encryption, particularly how to securely store and manage encryption keys. He devised an elegant solution that balanced security with usability: storing public keys on our servers while keeping private keys on users' local devices. This approach not only fortified our system's security but also introduced an additional layer of protection, requiring users to authenticate with their private keys upon logging in from any device. Tushar's strategic thinking and technical expertise were instrumental in overcoming this hurdle, significantly enhancing our project's security architecture. His openness to feedback and constructive dialogue has not only contributed to their personal growth but has also inspired our team to strive for continuous improvement.
    –Suleiman Muhammad Sabo,Student Ambassador at Newcastle University

Skills

  • Data Engineering & ETL Development Expert in building scalable data pipelines, ETL systems, Azure Databricks, PySpark, and data analytics
  • Full Stack Development Python, JavaScript, React, Node.js, FastAPI, PHP Mobile: Flutter, Android Studio Always following best practices
  • Cloud & DevOps AWS, GCP, Azure Docker, Kubernetes, CI/CD Database modeling & optimization SQL Server, PostgreSQL, NoSQL
  • API Development & Integration REST APIs, FastAPI, SQL Alchemy Microservices architecture Real-time data processing
  • Data Science & ML Data Mining, Data Scraping Machine Learning pipelines KeyBERT, Pandas, Beautiful Soup Data labeling & model training
  • Security & Best Practices End-to-end encryption, Cryptography Information Security principles Code documentation & testing GitHub, Git workflows

Projects

  • XpenseLab

    Personal budgeting tool

    Client
    Personal Project

    A personal budgeting tool built with Firebase and Google Data Studio for expense tracking and financial visualization. Features real-time expense monitoring with Cloud Firestore backend.

  • Vail Perfumes E-commerce

    E-commerce store for perfumes

    Client
    Vail Perfumes

    Developed an e-commerce website with full WooCommerce functionality including product catalog, inventory management, payment gateway integration, and order management system.

  • NLP and LLM Driven Identification of Job Intent, Technologies, and Teams

    Research project on semantic job matching

    Client
    Newcastle University
    0

    The process of matching job seekers with suitable job opportunities is a critical task in the recruitment industry. However, the complexity and variability of job descriptions often pose challenges in accurately identifying the job intent, required technologies, and team structures.

    This research project aims to develop an NLP and LLM based platform that can analyze job descriptions and extract relevant information, thereby enhancing the job matching process. By leveraging Natural Language Processing (NLP) techniques and Large Language Models (LLMs), the proposed platform enables a more semantic understanding of job descriptions and candidate profiles.

    Key Objectives

    • Scraping and preprocessing job descriptions
    • Generating a comprehensive dictionary of job intents, technologies, and teams
    • Labeling job descriptions using the generated dictionary and NLP techniques
    • Evaluating and comparing the performance of various NLP and LLM models for identifying job intent
    • Developing an ETL pipeline for data processing
    • Implementing a prototype API for ingesting job descriptions and retrieving job opportunities based on intent, technology, and team

  • Vail Perfumes E-commerce

    E-commerce store for perfumes

    Client
    Vail Perfumes

    Developed an e-commerce website with full WooCommerce functionality including product catalog, inventory management, payment gateway integration, and order management system.

  • NLP and LLM Driven Identification of Job Intent, Technologies, and Teams

    Research project on semantic job matching

    Client
    Newcastle University
    0

    The process of matching job seekers with suitable job opportunities is a critical task in the recruitment industry. However, the complexity and variability of job descriptions often pose challenges in accurately identifying the job intent, required technologies, and team structures.

    This research project aims to develop an NLP and LLM based platform that can analyze job descriptions and extract relevant information, thereby enhancing the job matching process. By leveraging Natural Language Processing (NLP) techniques and Large Language Models (LLMs), the proposed platform enables a more semantic understanding of job descriptions and candidate profiles.

    Key Objectives

    • Scraping and preprocessing job descriptions
    • Generating a comprehensive dictionary of job intents, technologies, and teams
    • Labeling job descriptions using the generated dictionary and NLP techniques
    • Evaluating and comparing the performance of various NLP and LLM models for identifying job intent
    • Developing an ETL pipeline for data processing
    • Implementing a prototype API for ingesting job descriptions and retrieving job opportunities based on intent, technology, and team

  • End to End Encrypted Chat App on React.js + Firebase

    Secure messaging with end-to-end encryption

    Client
    Newcastle University

    A secure chat application featuring end-to-end encryption built with React.js and Firebase, demonstrating advanced security concepts including asymmetric encryption for scalable web applications.

    Technical Implementation

    Implemented end-to-end encryption with public/private key architecture. Public keys are stored on servers while private keys remain on local devices, providing an additional layer of security requiring users to authenticate with their private keys upon logging in from any device.

  • End to End Encrypted Chat App on React.js + Firebase

    Secure messaging with end-to-end encryption

    Client
    Newcastle University

    A secure chat application featuring end-to-end encryption built with React.js and Firebase, demonstrating advanced security concepts including asymmetric encryption for scalable web applications.

    Technical Implementation

    Implemented end-to-end encryption with public/private key architecture. Public keys are stored on servers while private keys remain on local devices, providing an additional layer of security requiring users to authenticate with their private keys upon logging in from any device.

  • XpenseLab

    Personal budgeting tool

    Client
    Personal Project

    A personal budgeting tool built with Firebase and Google Data Studio for expense tracking and financial visualization. Features real-time expense monitoring with Cloud Firestore backend.

  • NLP and LLM Driven Identification of Job Intent, Technologies, and Teams

    Research project on semantic job matching

    Client
    Newcastle University
    0

    The process of matching job seekers with suitable job opportunities is a critical task in the recruitment industry. However, the complexity and variability of job descriptions often pose challenges in accurately identifying the job intent, required technologies, and team structures.

    This research project aims to develop an NLP and LLM based platform that can analyze job descriptions and extract relevant information, thereby enhancing the job matching process. By leveraging Natural Language Processing (NLP) techniques and Large Language Models (LLMs), the proposed platform enables a more semantic understanding of job descriptions and candidate profiles.

    Key Objectives

    • Scraping and preprocessing job descriptions
    • Generating a comprehensive dictionary of job intents, technologies, and teams
    • Labeling job descriptions using the generated dictionary and NLP techniques
    • Evaluating and comparing the performance of various NLP and LLM models for identifying job intent
    • Developing an ETL pipeline for data processing
    • Implementing a prototype API for ingesting job descriptions and retrieving job opportunities based on intent, technology, and team

  • End to End Encrypted Chat App on React.js + Firebase

    Secure messaging with end-to-end encryption

    Client
    Newcastle University

    A secure chat application featuring end-to-end encryption built with React.js and Firebase, demonstrating advanced security concepts including asymmetric encryption for scalable web applications.

    Technical Implementation

    Implemented end-to-end encryption with public/private key architecture. Public keys are stored on servers while private keys remain on local devices, providing an additional layer of security requiring users to authenticate with their private keys upon logging in from any device.

  • XpenseLab

    Personal budgeting tool

    Client
    Personal Project

    A personal budgeting tool built with Firebase and Google Data Studio for expense tracking and financial visualization. Features real-time expense monitoring with Cloud Firestore backend.

  • Vail Perfumes E-commerce

    E-commerce store for perfumes

    Client
    Vail Perfumes

    Developed an e-commerce website with full WooCommerce functionality including product catalog, inventory management, payment gateway integration, and order management system.