May 2025 – Nov 2025 · 6 mos · Cyberjaya, Selangor, Malaysia · On-site

• Developed a Multi-Agent DeepResearch Package, reducing research time from 15 minutes to 5 minutes.
• Engineered an autonomous vendor validation pipeline for real-time price benchmarking and product authenticity checks.
• Designed a document forgery detection framework utilizing LLM reasoning and structured data validation agents.

Jul 2023 – May 2025 · 1 yr 10 mos · Hyderabad, Telangana, India · On-site

• Leading the development of AI-based systems like Rufous Studio, InstaNotes, AI-Interviewer and Doctor Droid, integrating LLMs, GenAI, and Mistral to build real-time AI solutions.
• Automated Rufous Studio’s profile reporting process, reducing time from 1 hour to 2 minutes, saving up to 58 minutes daily for the entire team (97% efficiency improvement).
• Developed InstaNotes automation, reducing doctors’ manual data entry for patient history from 15-20 minutes per patient to instant, improving efficiency by over 90%.

Jan 2023 – Jun 2023 · 5 mos · Bengaluru, Karnataka, India · Hybrid

• Developed a comprehensive metric library to evaluate vision algorithms in automated retail environments.
• Implemented an evaluation methodology for assessing algorithm performance during service changes.
• Integrated the metric library with live services, enabling real-time evaluation and analysis.

Jul 2022 – Sep 2022 · 2 mos

• Developed an algorithm for detecting depression from audio signals by analyzing day-to-day conversations, leveraging NLP and Speech Processing techniques.
• Presented findings and research outcomes to senior researchers and stakeholders, demonstrating a deep understanding of the problem domain and the potential impact of the solution.
• Contributed to healthcare solutions for mental health diseases and oral cancer, utilizing Python, Deep Learning, Machine Learning, NLP, and Speech Preprocessing

Jan 2022 – Apr 2022 · 3 mos · India

• Designed and implemented a secure biometric key generation system with unique keys generated for each user during verification.
• Developed an incremental learning approach to accommodate new users over time and trained the model on new datasets.
• Ensured data privacy and security by implementing a process to delete training datasets from the system after model training, minimizing data storage risks.

Aug 2021 – Feb 2022 · 6 mos · India

• Project-based Research Internship in Machine Learning and IoT domain. Research problem is Optimal UWB sensor placement in a smart home environment.
• Implemented Data Collection, SVM, UWB Sensor and ANN in the project.

Mar 2021 – May 2021 · 2 mos

• ●Open Source program during summer conducted by GirlScript Foundation.
• ●Contributed to Algo-ScriptML(Scripts of Machine learning Algorithms from scratch).
• ●Got ranked 161 out of more than 2000+selected contributors in the program.