• Spearheaded 5 AI-driven web apps using React JS, Next.js, and Firebase, leveraging CI/CD pipelines. Collaborated in agile sprints to create a customer support agent with an OpenAI-Pinecone RAG pipeline, improving real-time user support

• Led the development of AI-driven solutions with Llama 3.1 LLM and Groq API, integrating Stripe API to enhance pricing, and implemented data scraping with LangChain and GPT-4, improving response relevance by 30% and data processing by 25%

• Developed scalable REST APIs with AI-driven optimization, enhancing performance by 15%, securing data through encryption and authentication, automating deployments via CI/CD pipelines, reducing errors and increasing deployment speed by 30%

• Partnered with security teams to manage AWS IAM for access control, ensuring ISO 27001 compliance. Integrated AI-powered monitoring with CloudTrail/CloudWatch, enhancing system analysis, mitigating threats, and improving uptime by 20%

• Worked closely with cross-functional team members to successfully establish an AI-based anomaly detection system, increasing system reliability by 25% and reducing downtime by 15%, improving operational efficiency and ensuring service continuity

• Facilitated a series of 10 Python workshops for finance students, covering financial modeling and data analysis; led hands-on projects that resulted in over 50% of participants achieving coding proficiency milestones by course completion

• Organized and delivered talks on Python in finance, coordinating guest lectures with industry experts and hosting hands-on coding sessions, enhancing students’ understanding of real-world applications and strengthening their practical skills

• Founded a web design agency, specializing in custom websites, UX/UI design, marketing, and SEO strategies

• Achieved a 50% average increase in client online engagement through tailored web design and optimization strategies

• Led a team of designers and developers in delivering projects that consistently met high-quality standards and deadlines

• Technologies used: HTML/CSS, JavaScript, WordPress, Adobe Creative Suite, Google Analytics

• Engineered a full-stack internship job board using Next.js and JavaScript, integrating RESTful APIs and FastAPI endpoints with AWS API Gateway and AWS Lambda for job data retrieval from a PostgreSQL AWS RDS database, enhancing user experience

• Integrated an AI-powered resume matching system leveraging Sentence Transformers (Hugging Face) and a Pinecone vector database, enhancing job recommendation accuracy by 40% through the use of LLM-based machine learning algorithms

• Built an automated job scraping tool with Selenium and Python, deployed on AWS EC2 with scheduled cron jobs to scrape over 1,000 job listings daily, effectively automating data collection, improving efficiency by 70%, and enabling real-time job updates

• Designed and optimized a scalable PostgreSQL database on AWS RDS, integrating AWS Secrets Manager to enhance data security by 40% and boost data retrieval speed by 30%, enhancing overall scalability for large-scale job data management

• Built a study helper with AI-generated quizzes and flashcards using LLM and RAG pipelines, integrating LangChain for data retrieval and context-aware content generation, providing secure authentication (Clerk), and Stripe payment integration

• Implemented document upload functionality that tailors quizzes and flashcards based on user-provided content, leveraging Sentence Transformers (Hugging Face) and LangChain to create personalized and contextually relevant learning experiences

• Deployed using Vercel for optimal performance, leveraging Next.js, React, and Firebase to ensure a seamless, responsive user experience, enabling real-time synchronization, scalability for a growing user base, and efficient infrastructure management

• Developed an AI-powered customer support chatbot using Next.js, React, and the OpenAI API, achieving 95% accuracy in responding to user queries by implementing LLM orchestration and knowledge-based retrieval through Pinecone, enhancing response relevance

• Deployed a scalable chatbot web application to AWS EC2 and integrated AWS Bedrock API, enabling intelligent responses from large language models and increasing deployment efficiency by 30%. Added user authentication and multi-language support to serve a global audienc

• Reduced development cycle times by 30% and improved team coordination by leading Scrum meetings and leveraging Agile and Scrum methodologies, resulting in 25% better adherence to project deadlines

• Enhanced project delivery speed by 20% through effective use of UML diagrams for prioritizing user stories and implementing software design patterns like MVC, Singleton, and Strategy, improving code structure and maintainability

•Increased user satisfaction by 40% by incorporating accessibility features such as Night Mode and Text-to-Speech, while ensuring software reliability through JUnit tests and efficient Git-based collaboration

• Developed a Sokoban game in RISC-V, integrating multiplayer with a leaderboard, increasing engagement by 40%

• Enhanced gameplay with a memory-efficient timer and responsive LED control, boosting interface speed by 50%

• Enhanced system efficiency by 20% using bubble sort, heap optimization for seamless gameplay on limited hardware

•Developed a C program for echo processing in WAV files, allowing users to add or remove echo effects based on feedback, enhancing audio manipulation capabilities

•Boosted development efficiency by 25% using Linux and streamlined builds with Makefiles, reducing setup time by 40%

• Achieved a 98% testing success rate, resulting in 25% higher reliability in audio processing tasks, while contributing to a 20% faster project delivery through Agile teamwork and iterative development