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AI Engineer with less than a year in Python, LangChain, and ReactJS.
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Assessing your cultural and operational fit
Highly motivated Computer Science student specializing in Artificial Intelligence & Machine Learning with a strong academic record (GPA: 3.84/4.00). Possesses practical experience in developing full-stack applications and AI-powered solutions, including streaming platforms, intelligent EdTech tools, story-to-video generators, and RAG-based chatbots. Proficient in Python, web development frameworks like React and Next.js, and machine learning libraries, eager to apply technical skills in innovative environments.
Institute of Management Sciences
B.S · Computer Science
N/A – June 30, 2026
Creator Streaming and Monetization Platform
June 1, 2026 – Present
Sole developer building a deployed full-stack platform enabling creators to live stream, automate revenue splits, and manage customized storefronts with affiliate marketing. Developed a responsive dashboard using React and Tailwind CSS, featuring real-time financial analytics and earnings. Engineered a secure Node.js, Express, and PostgreSQL API utilizing JWT authentication to process real-time broadcasts and financial transactions.
Smart Education Platform
June 1, 2026 – Present
Developed AIXAM, an intelligent EdTech platform that acts as both a personalized student tutor and a teacher assistant to auto-generate flashcards, tests, and automate assignment grading. Collaborated with a team of developers to architect the asynchronous backend infrastructure using Django and Python. Engineered a stateful, multi-agent orchestrator utilizing LangGraph to asynchronously process complex concurrent AI workflows and stream real-time responses.
AI Powered Story to Video Generator/TTS, LangChain, FFmpeg
June 1, 2026 – Present
Developed an AI web application using FastAPI, LangChain, Next.js, FFmpeg, LLMs, and TTS models that generates AI-driven short videos where user selected characters (with cloned voices) converse over a chosen background video, based on an AI-generated story.
View ProjectAI ChatBot/LangChain
June 1, 2026 – Present
Developed an AI chatbot using Python, LangChain, and FastAPI with RAG (FAISS + HuggingFace embeddings), hybrid retrieval (dense + sparse), and a reranker for improved accuracy. Integrated streaming responses, memory sessions, and a WebSocket endpoint for real time voice to text interaction, deploying the backend via Docker on Render and the frontend (Next.js) on Vercel.
View ProjectLexa / Legal Assistant
June 1, 2026 – Present
Built Lexa, an AI-powered legal assistant with a hybrid RAG pipeline for accurate legal citations, document analysis, and long-context conversations across complex queries. Developed and deployed a full-stack system using React, Django, LangChain, and multi-LLM integration, with real-time streaming responses, Redis caching, session persistence, and usage tracking for performance optimization.
View ProjectSpeechLabs / STT
June 1, 2026 – Present
Offline Speech Analysis Desktop Application Built a full-stack desktop app using FastAPI, faster-whisper, and PyWebView that performs real-time speech transcription, fluency analysis, and multi-threaded parallel processing entirely offline with zero cloud dependencies.
View ProjectAutomated Sales Agent / n8n
June 1, 2026 – Present
Built a fully automated multi step lead qualification workflow that retrieves data from documents, sends personalized mails to leads, keeps record of communication in Supabase DB and keeps persistent communication. Uses Pinecone for vector DB and Gemini agent for automation.
View ProjectMachine Learning Specialization
DeepLearning.AI/Coursera
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
Coursera
June 1, 2026 – Present
Advanced Learning Algorithms
Coursera
June 1, 2026 – Present
Unsupervised Learning, Recommendor, Reinforcement Learning
Coursera
June 1, 2026 – Present
Machine Learning Specialization
Coursera
June 1, 2026 – Present
Advanced React
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project portfolio showcases a strong passion for AI and a proactive approach to learning and applying new technologies. The diversity of AI applications (EdTech, video generation, chatbots, legal assistant, speech analysis) indicates a broad interest and adaptability, which are positive indicators for cultural fit in an innovative environment. The freelance project also suggests an entrepreneurial mindset. However, the lack of formal work experience might indicate a need for mentorship in a structured corporate environment.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and self-direction through numerous personal and freelance projects. The ability to work as a sole developer on a full-stack platform indicates strong problem-solving and project management skills. Collaboration is mentioned in one project, suggesting some team-work experience, but the majority of projects highlight individual contributions. The focus on AI/ML and full-stack development aligns well with an operational role requiring end-to-end system development.