Bhavishya Ambati

I’m a highly motivated and adaptable Software Engineer with a strong foundation in technical skills and SQL schema design. I’m eager to apply my expertise in scalable web technologies and AI integration in a high-growth environment, with a proven focus on improving system efficiency.

In my IEEE Xtreme 18.0 Section Co-Lead role, I led knowledge-sharing sessions for 60 student branches and helped drive promotion to bring about over 200,000+ participants. I also represented IEEE Xtreme on social media to encourage professional participation.

As an AI LLM Analyst at Innodata Inc, I specialize in evaluating and enhancing AI-generated language outputs for accuracy, clarity, tone, cultural alignment, factual integrity, and safety compliance. I analyze and validate large volumes of text to correct issues related to grammar, coherence, bias, hallucinations, and compliance.

Through projects like Aura Lint and Pocket URL Shortener, I’ve focused on practical performance gains—such as achieving 40% faster review times, reducing URL length by 85%, and improving engagement by 30%. I bring a bias for action and teamwork mindset, reinforced by recognitions like SQL (Advanced) certification via HackerRank and generative AI credentials from Oracle.