T

Tushar Reddy

Co-Founder

San Francisco, California, United States2 yrs 8 mos experience

Key Highlights

  • Built AI systems reducing LLM hallucinations.
  • Achieved 96% accuracy in deep learning models.
  • Led projects from conception to production.
Stackforce AI infers this person is a Fullstack Developer with a strong focus on AI and web technologies.

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Skills

Core Skills

Large Language Models (llm)Python (programming Language)TensorflowWeb DevelopmentNode.jsReact.jsAmazon Web Services (aws)

Other Skills

FlaskVector DatabasesArtificial Intelligence (AI)NumPyColabMatplotlibStreamlitKerasGit BASHMERN StackTestingSoftware DeploymentGitHubCascading Style Sheets (CSS)Algorithms

About

MS Computer Science student at California State University, Chico | Graduating August 2025 Delivered measurable AI improvements: built RAG system reducing LLM hallucinations by grounding responses in real data sources. Shipped full-stack applications from conception to production, including containerized movie platform and ML models achieving 96% accuracy. Proven engineering fundamentals: 200+ algorithm problems solved, ACM-ICPC regional competitor, led coding club and mentored junior developers. Experience spans frontend (React/TypeScript), backend (Node.js/Python), databases (SQL/Neo4j/Vector), and deployment pipelines. Track record of owning projects end-to-end: requirements gathering, architecture design, implementation, testing, and production deployment. Seeking Summer 2025 new grad positions in Software Engineering. Core Technologies: Python, JavaScript/TypeScript, C++, Java | React, Node.js, Flask | Docker, AWS/GCP

Experience

2 yrs 8 mos
Total Experience
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Average Tenure
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Current Experience

Zenit

Co-Founder

Feb 2026Present · 4 mos · California, United States · On-site

California state university, chico

Graduate Research Assistant

Jan 2025Feb 2026 · 1 yr 1 mo · San Francisco, California, United States · Remote

  • Built a Retrieval-Augmented Generation (RAG) system that significantly improved LLM factual accuracy and reduced hallucinations for historical queries by grounding responses in 118k verified Guardian articles
  • Developed automated evaluation framework that quantitatively measures LLM performance across 8 criteria, enabling researchers to systematically compare different AI approaches with data-driven insights
  • Created interactive web application allowing users to directly compare standard vs. context-enhanced AI responses, demonstrating clear improvements in specificity and source attribution
  • Reduced information retrieval time from manual research to sub-second queries while maintaining source traceability, making historical analysis more accessible to researchers
  • Established reproducible methodology for evaluating LLM truthfulness that can be applied to other domains, contributing to more reliable AI systems in research settings
Python (Programming Language)Large Language Models (LLM)FlaskVector DatabasesArtificial Intelligence (AI)

Dayananda sagar institutions

Research Assistant

May 2022Aug 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

  • Built deep learning classification model achieving 96% accuracy using TensorFlow and Keras, enabling automated image analysis that previously required manual review
  • Processed and cleaned large image datasets with filtering and augmentation techniques, improving model reliability on real-world data
  • Optimized model performance through batch normalization and network architecture tuning, reducing prediction errors by 15% over baseline
  • Deployed working model with Streamlit interface, allowing veterinarians to classify images instantly with confidence scores for decision-making
NumPyColabTensorFlowPython (Programming Language)FlaskMatplotlib+2

Tequed labs

Software Engineer Intern

May 2022Aug 2022 · 3 mos · Bengaluru, Karnataka, India · Hybrid

  • Built full-stack application managing user data through React frontend and Node.js APIs, streamlining data access for internal teams
  • Created automated test suite with Jest and Playwright, catching bugs before production and reducing support tickets by eliminating common issues
  • Implemented secure user authentication with JWT tokens, protecting sensitive data while maintaining smooth user login experience
  • Set up automated deployment pipeline with Fly.io, cutting manual deployment time from hours to minutes
Git BASHMERN StackWeb DevelopmentTestingSoftware DeploymentNode.js

Smart india hackathon

Software Engineer

Dec 2021Mar 2022 · 3 mos · Bengaluru, Karnataka, India · Remote

  • Developed a hosted web application in 4 months using React and Node.js, solving a real-world problem that was funded by the government
  • Built responsive interface supporting multiple image uploads and selection, improving user workflow efficiency for batch processing tasks
  • Collaborated with team using Git version control to deliver functioning prototype under strict hackathon deadlines
  • Demonstrated full development cycle from concept to working demo, showcasing ability to rapidly build solutions under pressure
React.jsGitHubCascading Style Sheets (CSS)Node.jsAlgorithms

Aicte neat

AWS Cloud Virtual Intern

Oct 2021Dec 2021 · 2 mos · Bengaluru, Karnataka, India · Remote

Amazon EC2AWS Identity and Access Management (AWS IAM)AWS Command Line Interface (CLI)Amazon Web Services (AWS)

Education

California State University, Chico

Master of Science - MS — Computer Science

Jul 2023Jan 2025

Visvesvaraya Technological University

Bachelor's degree — Computer Science

Sep 2019Jun 2023

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