Mousam User
@mousampodder
Final-year Computer Science & Engineering student specializing in AI Engineering and Full-Stack Development. Experienced in building production-style
IndiaWhat I'm looking for
I am a final-year Computer Science & Engineering student specializing in AI Engineering and Full-Stack Development. I have a proven track record of building production-grade, high-performance systems—ranging from low-latency real-time voice pipelines and LLM-integrated backends to event-driven architectures.
My core technical stack includes Python, TypeScript, Next.js, FastAPI, and TensorFlow, backed by hands-on experience with modern tools like Vapi WebSockets, Inngest, and Qdrant. I also hold a strong foundation in core computer science principles, including Data Structures & Algorithms, OOP, and DBMS.
I am deeply passionate about building scalable, user-centric software and applying generative AI to solve real-world problems. I am actively looking for Full-Stack, Backend, or AI Engineering internships (especially remote or product-driven environments) where I can work with fast-moving teams, build production-ready systems, and grow as an engineer.
Experience
Work history, roles, and key accomplishments
As the creator of this Twitter Sentiment Analysis project, I built an end-to-end NLP pipeline processing 10K+ tweets on trending topics via the Twitter API. I classified sentiment with ~85% accuracy using VADER and TF-IDF techniques, and deployed a real-time Matplotlib dashboard to visualize sentiment trends and topic-level insights.
Full Stack Developer
self
Apr 2025 - May 2025 (1 month)
As the creator of Intervo, I solved student interview anxiety by building a low-latency (<800ms) voice AI mock platform. I architected real-time Vapi WebSocket audio streams, FastAPI webhook handlers with Gemini 3 Flash for adaptive questions, and an automated Firestore evaluation pipeline.
As the creator of this CNN Image Classifier, I solved real-world emotion recognition challenges by building a deep learning model for facial expression detection. I designed a custom CNN architecture with 4 convolutional blocks and dropout regularization in TensorFlow/Keras, achieving 91% validation accuracy on a 7-class dataset while reducing overfitting by ~12%.
Education
Degrees, certifications, and relevant coursework
Guru Nanak Institute of Technology
Bachelor of Technology, Computer Engineering
2023 - 2027
Pursuing a Bachelor of Technology in Computer Engineering.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
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