Nov 2024 – Present · 1 yr 4 mos · Hyderabad, Telangana, India · On-site

• At Kensho Technologies: AI and machine learning company within S&P Global.

Oct 2023 – Jul 2024 · 9 mos

• Developed ML models to detect critical contents (e.g., suicides, murders) on Facebook and Instagram Live Video, aiding law enforcement and potentially saving lives. It was Meta's first deployment in three years, with a performance increase from 3% to 80% in 4 months.
• Led end-to-end ML model deployment, including data understanding, pipeline building, feature
• engineering, scaling, and performance alignment.
• Deployed LLM (Llama 2/3) and Gen AI techniques to generate synthetic training data for scarce
• categories, addressing the industry's labelling challenges.
• Developed long-term strategies for reducing harmful content, including project planning and execution.
• Created ML models to prevent immigration and visa fraud scams on WhatsApp.
• Prototyped solutions during an internal hackathon to help advertisers connect with local creators on
• Instagram Creators Marketplace, increasing organic growth.

Feb 2023 – Oct 2023 · 8 mos

Dec 2021 – Jan 2022 · 1 mo

• Volunteered to mentor senior college students on potentials of Artificial Intelligence in higher education and industry.

Sep 2019 – Jan 2023 · 3 yrs 4 mos · Munich Area, Germany · On-site

• Development lead of cloud-based AI applications (AWS) in the quality domain area at BMW Group, including go-live (responsibility over a EUR 600k project and 4 software engineers).
• Interface between domain experts to create clear requirements for the technical team (software engineers).
• Stakeholder management between business teams to create project roadmap and deliverables.
• Consulting business groups on how AI technologies could be applied within their domains.
• Communication of the impact of AI, both at internal and external conferences.
• Mentoring several interns and master thesis students.

Jan 2019 – Aug 2019 · 7 mos · Munich Area, Germany · On-site

• Conducted research on industrial data analysis, focusing on limited labeled and unannotated data.
• Investigated classical statistical methods and recent word embedding techniques to gain insights from unlabelled data.
• Explored techniques to leverage knowledge from high-resource languages to develop services for low-resource languages, emphasizing quality standards and cost-effectiveness.
• Contributed to developing solutions for data-driven decision-making in an industrial context.

Oct 2018 – Dec 2018 · 2 mos · Munich Area, Germany · On-site

May 2018 – Sep 2018 · 4 mos · Munich Area, Germany · On-site

• Natural Language Processing (NLP), Deep Learning, and Computer Vision.
• Multi-model Named Entity Recognition (NER) using textual and visual information

Apr 2017 – Apr 2018 · 1 yr · Munich Area, Germany

• Integrating graphic deliveries for the infotainment system of cars
• Developing and maintaining automation tools

Jan 2014 – Sep 2016 · 2 yrs 8 mos · On-site

• Multi core, Multi thread server ARM v8 (Vulcan), MIPS processors (XLP)
• Major Contribution:
• Compiler backend optimisation for ARM v8 (Vulcan) processor.
• CPU Architecture: Benchmarking CPU instructions on gem5 simulator.
• Developed Linux kernel device drivers and applications for XLP processors.

Jan 2013 – Jan 2014 · 1 yr · On-site

• Developed Linux kernel device drivers and applications for XLP processors.