AI Engineer with 1+ years in Python & Machine Learning
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Highly motivated Computer Science student specializing in Artificial Intelligence and Machine Learning, with a strong GPA of 3.84/4.00. I possess hands-on experience in developing full-stack AI-powered platforms, chatbots, and video generators using Python, FastAPI, LangChain, React, and Next.js. My projects showcase expertise in real-time streaming, data analytics, and robust backend infrastructure, reflecting a passion for innovative AI solutions and problem-solving.
Institute of Management Sciences
B.S · Computer Science
N/A – June 30, 2026
AI Powered Story to Video Generator/TTS, LangChain, FFmpeg
July 1, 2025 – 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 ProjectSpeechLabs / STT
July 1, 2025 – 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 ProjectCreator Streaming and Monetization Platform
July 1, 2025 – 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.
Lexa / Legal Assistant
July 1, 2025 – 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 ProjectSmart Education Platform / AI
July 1, 2025 – 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 ChatBot/Langchain
July 1, 2025 – 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 ProjectAutomated Sales Agent / n8n
July 1, 2025 – 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 ProjectAdvanced React
Coursera
June 1, 2026 – Present
Unsupervised Learning, Recommendor, Reinforcement Learning
DeepLearning.AI/Coursera
June 1, 2026 – Present
Supervised Machine Learning: Regression and Classification
DeepLearning.AI/Coursera
June 1, 2026 – Present
Advanced Learning Algorithms
DeepLearning.AI/Coursera
June 1, 2026 – Present
Machine Learning Specialization
DeepLearning.AI/Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's portfolio showcases a strong passion for AI/ML, with multiple personal projects demonstrating initiative and continuous learning. The diversity of AI applications (EdTech, video generation, chatbots, legal assistants, speech analysis) indicates a broad interest and adaptability, which could contribute positively to a dynamic team environment. The freelance project also suggests an entrepreneurial spirit. The target role of AI Engineer aligns well with the candidate's demonstrated project experience and technical skills.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a proactive and independent work ethic, as evidenced by being the 'sole developer' on a full-stack platform. Collaboration is mentioned in one project, suggesting some team experience. The focus on real-time systems and performance optimization points to an operational mindset. However, without direct interview data or psychometric test results, a comprehensive assessment of soft skills and operational fit is limited.