Senior Software Engineer with 3+ years in AI/ML, Full Stack Development & DevOps.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI/ML and Full Stack Developer with 3.4 years of experience, specializing in natural language processing (NLP) and robust system architecture. Proven ability to innovate with deepfake technology, build intelligent RAG systems, and optimize performance for complex applications. Strong background in MERN stack development and leveraging cloud services like AWS and Azure for seamless deployment.
Parala Maharaja Engineering College
B.Tech
August 1, 2019 – June 30, 2023
Mindfire Solutions
Senior Software Engineer
November 1, 2023 – Present
Neophyte Ambient Intelligence
Full Stack Developer intern
July 1, 2023 – December 1, 2023
Braynix AI
NLP intern
June 1, 2022 – November 1, 2022
Covid-19 detector
April 24, 2026 – Present
Employed CNNs to classify chest x-ray images as COVID-19 positive or negative, achieving 92% accuracy. Fabricated a user-friendly Streamlit web app for seamless image classification and analysis.
Toxic comments classification
April 24, 2026 – Present
Classifying comments into 6 categories on the basis of their toxicity into 6 different categories using LSTM model
Sign language detection website
April 24, 2026 – Present
Implemented QLoRA-based 4-bit quantized fine-tuning of LLaMA-3.2-Vision using Unsloth and TRL, reducing training time by 40%; leveraged OpenCV and MediaPipe for dataset preprocessing and skeleton-based feature extraction for sign language recognition and built a Flask-based web interface for model inference.
Aspect Based Sentiment Analyser
April 24, 2026 – Present
Designed ABSA website for eco retreat review analysis using React/FastAPI for the web app, Selenium for web scraping, Spacy/TextBlob for data prep, BERT for sentiment analysis which gave an accuracy boost of 20% over traditional models
Cultural Fit Analysis
The psychometric test score of 0 suggests severe deficiencies in areas critical for cultural fit, including work attitude and team collaboration. This indicates a high risk for integration into a team and adherence to professional conduct.
Soft Skills & Operational Fit
The psychometric test score of 0 indicates a critical lack of logical reasoning, work attitude, stress handling, and team collaboration. This raises significant concerns regarding operational fit and the candidate's ability to function effectively in a professional team environment.