Venkata Sai Tanishq Nalloju

Technical product manager with 4+ years of experience in AI and cloud. Led PoC, PoT & AI-driven innovations in healthcare, optimizing workflows & decision-making. Achievements include managing cross-functional teams to develop Swarm AI solutions that improved task efficiency by 70%.

⌄

Experience

Technical Product Manager (R&D)

Brazil(Remote)

| May 2022 - Present

  • Defined technical product vision, aligning features with user needs and market opportunities, which minimized critical bugs (decreased by 40%) and improved platform stability
  • Delivered a low-code platform for Agentic AI development, empowering product teams to rapidly prototype and iterate on business workflows, resulting in 50% faster time to completion.
  • Led the creation of AI-driven Digital Twin models in healthcare, integrating real-time patient monitoring, which accelerated clinical decision-making by 20% and reduced patient wait times.
  • Guided 2 teams in designing Swarm AI solutions, integrating AI agents for automation, reducing manual processes by 70%, and enhancing decision-making speed and accuracy for business development.
  • Enhanced Sakana AI's interface that supported molecular pharmacology, facilitating AI-driven in-silico experiments and improving analysis leveraging AlphaFold, resulting in 25% more efficient data processing.
  • Pioneered a Proof of Technology (PoT) initiative leveraging quantum computing (VQE); accelerated biomedical interactions and personalized nutrition, which decreased simulation time by 70%.
  • Drove the adoption of agile methodologies across two R&D teams, conducting training sessions and mentoring junior engineers, leading to a 30% increase in project delivery speed.

Software Engineer (R&D)

Brazil(Remote)

| May 2021 - Apr 2022

  • Delivered a low-code platform for AI agentic workflow development, empowering product teams to rapidly prototype and iterate on user interfaces, resulting in 50% faster time to market.
  • Gantt-Style Workbench for Process Automation; Created an AI-driven project tracking system (similar to Jira) for business process automation and workload management.
  • Designed and deployed a real-time coaching AI for customer service agents using STT/TTS and Whisper models, achieving a 95% accuracy rate in identifying areas for improvement.
  • Pioneered data-driven decision models using knowledge graphs, processing unstructured data with a 99% data quality score, and business intelligence pipelines.
  • Spearheaded the migration of legacy SAP and Oracle data and code, leveraging an automated migration tool into a custom no/low-code builder, which reduced migration time by 60%.
  • Implemented machine teaching for a Latin America welfare housing project, incorporating job data and unstructured applicant information; minimizing manual efforts by 70% for first time loan applicants

Intern

Brazil(Remote)

| Oct 2020 - Apr 2021

  • Implemented machine teaching for a LatAm welfare housing project, incorporating job data and unstructured applicant information; minimizing manual efforts by 70% for first time loan applicants.
  • SAP Business Logic Auditing; Conducted security analysis, identifying critical vulnerabilities in SAP business logic and assisting in remediation.

Projects

Market Linked debentures (MLDs) asset value analysis

Total asset return analysis for MLDs tracking NIFTY 50 vs government securities Indices vs fixed instruments based on central bank repo rate by leveraging data from NIFTY and custom datasets.

Sentiment Analysis on COVID Tweets

Prediction of fear factor of a tweet related to Covid-19. Leverages meta Transfer learning technique from general purpose sentiment analysis algorithms. Uses NLP techniques for processing tweets and regression algorithm to predict the sentiment.

Mercedes Benz Greener Kaggle prediction competition

Predicting a bench test time during production using XGBoost after reducing dimensions with PCA.

Automobile Customer Service using AI agent

A smart chat bot leveraging AI feedback algorithms to analyze automobile problems during a breakdown. Analyzes and improves customer experience by reducing time taken to resolution. Helps auto service units to deliver the right product at the right time to customer for higher on road success rate and assistance.

Contact

Mail Icon

Let's connect! Send me a mail