Fullstack Engineer with 1+ years in AI Engineering & Python/JavaScript
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Fullstack AI Engineer with 1.7 years of experience in designing and deploying multi-agent AI systems and scalable backend services. Proficient in Python, JavaScript, FastAPI, Django, React, and various databases. Skilled in leveraging LLMs and AI/ML for complex data analysis, anomaly detection, and workflow automation, backed by strong problem-solving and leadership skills demonstrated through diverse projects and extracurriculars.
Sri Venkateswara College of Engineering
Bachelor of Engineering · Computer Science and Engineering
August 1, 2022 – June 30, 2026
Maharishi Vidya Mandir
Higher Secondary
June 1, 2020 – May 31, 2022
Thirdi AI
Fullstack AI Engineering
May 1, 2025 – Present
India
Hala Chennai (E-commerce Platform)
Freelance Full Stack Developer
August 1, 2024 – October 1, 2024
Chennai, Tamil Nadu, India
Sri Ramakrishna Math
AI & ARM Architecture Intern
June 1, 2024 – July 1, 2024
Chennai, Tamil Nadu, India
LLM from Scratch (GPT-2 Based)
June 1, 2026 – Present
Implemented a full GPT-style LLM from scratch in PyTorch, covering tokenization, embedding layers, and stacked transformer blocks with multi-head causal self-attention and GELU feed-forward networks. Applied causal attention masking and residual connections with layer normalization, replicating core architectural principles of GPT-like models. Implemented temperature scaling and top-k sampling for controllable text generation, and built model checkpointing for saving/loading weights and resuming training. Integrated pretrained GPT-2 weights from OpenAI to enable transfer learning and fine-tuning, training on a ~1M-token corpus with cross-entropy loss and the Adam optimizer. Achieved a validation loss of ~3.2 (perplexity ~25) on the Shakespeare corpus after training a ~30M-parameter model for 5 epochs on a single GPU.
View ProjectElectronic Question Paper Management System
June 1, 2026 – Present
Designed and deployed a role-based full-stack web application now used by 100+ faculty members to create and manage semester examination papers. Established a secure authentication and authorization system (RBAC) with controlled access tiers for admins, reviewers, and staff. Set up RESTful APIs for paper submission, approval workflows, and version control, boosting process efficiency by 40%.
View ProjectIntelligent Enterprise AI Assistant
June 1, 2026 – Present
Engineered an AI-driven enterprise chatbot for workflow automation, integrating AWS S3, email, and internal knowledge bases via ChromaDB-based vector retrieval to resolve queries 30% faster. Architected multi-user concurrent session handling, increasing system throughput by 50% while maintaining sub-second response times under concurrent load. Designed and delivered a multi-agent LLM architecture using Neo4j for knowledge graph-based document relationships and task orchestration across enterprise workflows. Built backend-frontend integration with a normalized database schema and a responsive UI, reducing page load times by 30% and improving session reliability for concurrent users.
Special Mention at RotaTechX
Unknown
June 1, 2026 – Present
Special Mention at Makethon 5.0
Unknown
June 1, 2026 – Present
Best Paper Award, NCSPCN
Unknown
June 1, 2026 – Present
Finalist, Smart India Hackathon
Unknown
June 1, 2026 – Present
Clean Code Award at Innothon24
Unknown
June 1, 2026 – Present
AWS AI & ML Scholar
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's diverse project portfolio, including academic, freelance, and full-time roles, showcases adaptability and a broad interest in different problem domains. Their involvement in hackathons and leadership roles suggests a proactive, collaborative, and innovative mindset, which aligns well with a dynamic engineering culture. The blend of AI/ML and full-stack development indicates a versatile individual who can contribute across different layers of a product.
Soft Skills & Operational Fit
The candidate demonstrates strong initiative and leadership through extracurricular activities. Their project descriptions indicate a results-oriented approach and an ability to work on complex, multi-faceted systems. The focus on efficiency gains and performance optimization suggests a practical, operational mindset. The academic background and project diversity indicate a strong learning aptitude and adaptability.