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Full Stack Engineer with less than a year in AI, NLP & Backend Development
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Full Stack Developer and AI Engineer with experience in backend development, NLP, and applied ML. Enhanced document retrieval using Firecrawl, optimized chunking, and ChromaDB vector search. Built scalable RAG pipelines, multi-LLM workflows, and TTS systems with OpenAI APIs, ElevenLabs, and Google TTS. Skilled in Flask-based REST APIs, transformer architectures, and LLM fine-tuning using PyTorch, with an emphasis on efficiency and scalability.
International Institute of Information Technology, Hyderabad
M.Tech · Computer Science and Information Security
August 1, 2023 – June 30, 2025
Pimpri Chinchwad College of Engineering, Pune
B.E. · Computer Engineering
August 1, 2019 – June 30, 2023
Geta.ai Labs Pvt Ltd
Full Stack Developer
July 1, 2025 – October 31, 2025
India
CoSchool.ai
AI-ML Engineering Intern
March 1, 2025 – May 31, 2025
India
Transformer for Machine Translation
June 24, 2026 – Present
Built a Transformer model from scratch in PyTorch for English-French translation (WMT dataset). Implemented encoder-decoder architecture with positional encoding and multi-head attention. Improved BLEU score from 0.1356 to 0.1549 through targeted hyperparameter tuning.
Fine-tuning GPT-Neo 125M for Text Summarization
June 24, 2026 – Present
Fine-tuned GPT-Neo 125M on CNN/DailyMail using traditional, soft-prompt, and LoRA methods. Achieved best ROUGE with LoRA (R1: 0.2382, R2: 0.1073, RL: 0.1597), outperforming traditional fine-tuning. Added validation-loss tracking and early stopping for stable, efficient training.
Cultural Fit Analysis
The candidate's project experience is heavily skewed towards academic and AI/ML research, with limited exposure to diverse full-stack development scenarios outside of AI-specific backend components. While the 'Full Stack Developer' role at Geta.ai Labs is relevant, its short duration (4 months) and AI-centric focus suggest a need to validate broader full-stack capabilities. The academic projects demonstrate strong analytical and problem-solving skills within the AI domain, but the breadth of experience for a general 'Full Stack Engineer' role might be limited. The candidate's education includes both a Bachelor's and a Master's degree in Computer Engineering/Science, indicating a strong academic foundation.
Soft Skills & Operational Fit
The candidate's psychometric test score (299/500) suggests potential areas for development in logical reasoning, work attitude, stress handling, or team collaboration. While the resume highlights project achievements, the psychometric score indicates a need for further assessment in these operational fit areas.