Introduction
Overview.
Hello! I’m Vivek Lakhani, a software developer with over three years of experience creating dynamic web applications in areas like finance, education, and healthcare. I specialize in both front-end and back-end development, with expertise in frameworks and tools like Django REST Framework, Chart.js, and NestJS. My work has a strong emphasis on UI/UX, aiming to create intuitive and user-friendly applications. Feel free to explore my projects and get in touch at viveklakhani1010@gmail.com I'm always open to new opportunities and collaborations!
AI/ML Developer
Frontend Developer
Backend Developer
Fullstack Developer
What I have done so far
Experience.
Cloud Computing Intern
Workfall
- Masterminded serverless architecture with Lambda/API Gateway, yielding 35% cost reduction and improving execution speed.
- Accelerated data transformation through AWS Glue/S3, securing 40% efficiency gains and optimizing ETL performance.
- Deployed automated ML pipeline on SageMaker, conquering 45% accuracy targets and streamlining training workflows.
Python Developer
TrueTec Systems
- Reinforced zero-trust security through OAuth/JWT, neutralizing 40% breach attempts and securing sensitive APIs. Weaponized AI defense system with PyTorch/FastAPI, intercepting 35% security threats and minimizing breach risks. Synthesized real-time analytics using Spark/Kafka, achieving 50% precision boost and faster anomaly detection.
- Innovated neural search engine with BERT/Elasticsearch, amplifying relevance by 45% and optimizing indexing speed. Crystallized real-time dashboards via React/D3.js, slashing analysis time by 30% and enabling better visualization. Optimized cloud-native platform on AWS, harvesting 40% infrastructure savings and improving resource utilization.
Full Stack Developer
Peafowl IT Solution
- Developed robust full-stack applications using Node.js, enhancing scalability and functionality.
- Optimized website performance through advanced On-Page and Off-Page SEO strategies, driving increased organic traffic.
- Integrated server-side logic with dynamic front-end components for seamless user experiences.
Software Developer Internship
eInfochips (An Arrow Company)
- Spearheaded distributed API gateway with Node.js/Redis, unleashing 30% performance gains and optimizing request handling. Architected event-streaming pipeline via Kafka/Airflow, conquering 40% data latency and ensuring real-time processing.
- Formulated predictive ML system with ensemble models, eliminating 45% manual workloads and improving classification accuracy. Transformed container orchestration using K8s/Helm, securing 50% deployment efficiency and ensuring seamless scalability.
Software Engineer Intern
Trinarybits Technologies Pvt. Ltd
- Built dynamic, user-friendly web applications using React.js and TypeScript, ensuring seamless performance.
- Developed scalable back-end systems with NestJS and Node.js, enhancing application reliability.
- Implemented efficient database solutions using MongoDB, improving data storage and retrieval processes.
Software Developer
Ashvi Consultancy Service
- Pioneered distributed microservices with event-driven APIs, catapulting system throughput by 40% and optimizing scalability. Orchestrated neural network security via TensorFlow/PyTorch, neutralizing 35% fraud attempts and enhancing system integrity.
- Engineered semantic search platform using BERT/Vector DB, unlocking 50% faster query performance and retrieval accuracy. Revolutionized DevOps workflow through IaC/GitOps, achieving 60% faster deployment cycles and reducing manual intervention
Software Engineer
University of Southern California
- Automated regulatory data aggregation using RAG pipelines and smart web crawlers, cutting PCAOB-related research time by 70%.
- Spearheaded CI/CD optimization with Travis CI for USC Architecture's website, accelerating deployment cycles by 30% and improving release reliability.
- Revamped backend infrastructure via Firebase on Heroku and tailored WordPress workflows, boosting performance and streamlining editorial operations.
My tools
Technologies.
My work
Projects.
Following projects showcases my skills and experience through real-world examples of my work. Each project is briefly described with links to code repositories and live demos in it. It reflects my ability to solve complex problems, work with different technologies, and manage projects effectively.
Blockchain Based Land Registration System
The Land Registration System is a decentralized application (DApp) built on blockchain technology with integrated NFT minting capabilities. It aims to provide a secure, transparent, and immutable platform for registering land parcels and converting them into Non-Fungible Tokens (NFTs).These NFTs represent unique digital assets with verifiable ownership records, ensuring trust and efficiency in land transactions. The system incorporates features such as Metamask integration for secure signing, precise land registration using longitude and latitude coordinates, different administrative levels for governance, and displaying amenities around registered land parcels.
#Django
#Solana
#Web3
#React.js
#SQLite
#Twilio
OCR Engine
OCR-based system for automated text extraction and processing of scanned documents, images, and forms. Using Tesseract and OpenCV, the system preprocesses images by applying techniques like noise reduction, deskewing, and contrast enhancement to ensure optimal recognition accuracy. The solution integrates AWS Textract for multi-language support and handles structured data extraction from invoices, receipts, and tables, converting them into machine-readable formats like JSON or XML. Real-time OCR capabilities are implemented with EasyOCR and PyTorch for applications requiring on-the-go text recognition, such as mobile or web platforms. The project aims to streamline document digitization and automation workflows across industries.
#Django
#Tesseract OCR
#NLTK
Talkface AI
Accurately Lip-syncing Videos In The Wild is an innovative project focused on creating realistic, context-aware lip-syncing for videos. The goal is to develop a system that can accurately synchronize a person's speech to video footage in real-time, even when the footage is shot in uncontrolled or wild environments, such as outdoor settings or when there are dynamic camera angles. This can be applied to various fields, including entertainment (e.g., dubbing or animation), accessibility (e.g., subtitling and sign language interpretation), and social media applications.
#GAN
#opencv
#Pytorch
Ayurvedic Chatbot
This is a medical chatbot that has been developed to help users provide with ayurvedic formulations and recipes
#React.js
#Django
#Tailwind
#RAG
RAG(Retrieval Augmented Generation)
The Retrieval-Augmented Generation (RAG) system combines the power of retrieval-based systems and generative language models to generate highly accurate and contextually relevant content by augmenting the generative process with external knowledge. This project aims to develop a sophisticated RAG-based system for dynamic question answering, content creation, and summarization tasks, allowing the model to fetch real-time information from large knowledge bases or external resources before generating responses.
#LLM
#NLP
#GPT
Assignment Writing Services
Assignment Writing Service platform with React.js as the frontend and Flask as the backend, you can follow the steps below. The goal is to create a platform where students can order assignments, track progress, and communicate with writers or tutors.
#React.js
#Flask
#Tailwind
Emotion Detection System
Emotion Detection System is a software application designed to analyze and identify human emotions from various sources of data such as text, voice, or facial expressions. The system uses machine learning (ML) and deep learning (DL) techniques to classify emotions into categories like happiness, sadness, anger, surprise, disgust, fear, and others.
#Open CV
#Tensorflow
#Pytorch
Hospital Management System
Hospital Management System (HMS) is a software application designed to streamline and automate hospital operations, improving efficiency and service delivery. It manages various aspects such as patient records, appointments, billing, inventory management, staff management, and more. Below is a comprehensive guide on how to build a Hospital Management System with React.js as the frontend and Django as the backend.
#React.JS
#Django
#SQLite
Music Streaming Systems
The Music Streaming System project involves designing and implementing a platform using React.js for the frontend and Django for the backend, enabling user authentication, playlist management, and real-time song streaming. The system integrates third-party APIs to retrieve music data, providing features such as song search, personalized recommendations, and user-generated playlists, enhanced by machine learning algorithms. To ensure scalability, the project leverages cloud infrastructure (AWS) for high availability and performance, offering high-quality audio streaming with additional features like offline playback and user interaction with content.
#React.js
#Django
#Google O-Auth
Hotel Recommendation System
Recommend Hotel to user based on Location.
#Django
#Geocoder
#Geopy
House Price Prediction
The House Price Prediction project aims to develop a machine learning model that predicts house prices based on various factors such as location, size, number of rooms, and other relevant features. Using a dataset of historical house prices, the model is trained using algorithms like linear regression, decision trees, or random forests to identify patterns and relationships between the features and the target price. The system will be implemented with a Python-based backend, utilizing libraries like Scikit-learn for model training, and a simple frontend to allow users to input property details and receive price predictions in real-time.
#Scikit Learn
#Flask
Get in touch
Contact.
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