AI Engineer with less than a year in LLM Post-Training & Full Stack Development
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Assessing your cultural and operational fit
As an LLM Post-Training Intern at Ethara Al, I specialize in enhancing Large Language Models using advanced techniques like RLHF and SFT. With a Bachelor of Technology in Computer Science from SR University, I bring strong technical skills in Python, C, Java, HTML, CSS, JavaScript, and database management (MySQL, SQL, PostgreSQL). My project experience spans customer feedback analysis, alumni platform development, and deepfake detection, showcasing my expertise in NLP, Machine Learning, Deep Learning, and full-stack development. I am committed to leveraging AI and automation for impactful solutions.
SR University
Bachelor of Technology · Computer Science
October 1, 2022 – May 1, 2026
Ethara Al (Green Rider Technology LLP)
LLM Post-Training Intern
February 1, 2026 – Present
India
Deep Fake Detection System
November 1, 2025 – Present
Designed and deployed a production-ready deepfake detection system using ResNeXt+LSTM hybrid architecture, achieving 97.2% accuracy in distinguishing authentic from synthetic media and providing explainable AI results with per-frame analysis.
Alumni Association Platform
April 1, 2025 – Present
Developed a comprehensive Alumni Association platform using Next.js, Next-Auth for authentication, PostgreSQL for database management, and integrated PayPal for seamless payment processing, enhancing alumni engagement and streamlining event participation.
View ProjectCustomer Feedback Analysis
April 1, 2024 – Present
Designed and deployed a web-based customer feedback analysis tool, achieving 65% accuracy in sentiment classification and providing actionable insights for product enhancement.
View ProjectTheory of Computation
Unknown
October 1, 2024 – Present
CCNA
Cisco Certified Network Associate
May 1, 2024 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a proactive approach to learning and applying AI technologies. The internship at Ethara AI aligns well with the target role, indicating a clear career interest in AI. The diversity of projects (NLP, Computer Vision, Web Development) shows a broad technical curiosity. However, the overall experience level is junior, which might require more mentorship in a senior-level team.
Soft Skills & Operational Fit
The candidate's participation in hackathons suggests teamwork and problem-solving skills under pressure. Academic achievements indicate diligence and a strong learning aptitude. However, without specific psychometric test results or interview data, a comprehensive assessment of soft skills and operational fit is limited.