Likith Reddy Chintala

Co-Founder

Austin, Texas, United States2 yrs 1 mo experience

AI EnabledAI ML Practitioner

Key Highlights

Developed a multi-agent platform reducing grocery waste by 28%.
Streamlined data processes, cutting project timelines by 30%.
Created dynamic pricing strategies projecting a 15% revenue increase.

Stackforce AI infers this person is a Data Science and AI Engineering professional with a focus on optimization and analytics.

Contact

Skills

Core Skills

Machine LearningData EngineeringLlmopsBusiness AnalyticsData Analysis

Other Skills

PythonData ProcessingModel ScoringTrade Signal GenerationLangGraphLangChainSageMakerFastAPIDockerCI/CDBusiness ModelingMarket ResearchCustomer SegmentationAWS RedshiftVBA

About

🎯 About Hello! I'm Likith, a Machine Learning Engineer and recent graduate in Operations Research & Industrial Engineering from UT Austin, passionate about applying advanced analytics to solve complex, high-impact problems across industries. My work lies at the intersection of machine learning, optimization, and data engineering; building scalable systems that transform raw data into actionable intelligence. In my prior experiences, I • Shipped a SARIMAX + XGBoost forecaster (±3% MAPE) that freed $250k working capital and trimmed idle inventory 11 %. • Engineered a LangGraph multi-agent platform that slashed grocery waste 28% and delivery mileage 32%. • Designed VRP optimisers and surge-pricing models, dropping miles/order 32% and lifting on-time delivery 9%. 💼 I’m actively seeking full-time opportunities in data science(LLMOps), business analytics, or supply chain intelligence, where I can build solutions that drive measurable value. Let’s connect(email: chlikith@utexas.edu) if you're working on mission-driven analytics, LLM-based products, or data-intensive operations.

Experience

2 yrs 1 mo

Total Experience

1 yr 3 mos

Average Tenure

10 mos

Current Experience

Nirvana systems

AI Researcher

Aug 2025 – Present · 10 mos · Austin, Texas, United States · Remote

Developed systematic equity and market direction models that improved backtested performance by approximately 30%
compared with prior benchmark models used for live trading.
Co-built Python-based automation for data processing, model scoring and trade signal generation, increasing alignment
between backtests and daily live trading and reducing manual intervention.
Partnered directly with the Founder and CEO to define research questions, run leak-free backtests and review model performance, ensuring only validated signals progressed into production.

PythonData ProcessingModel ScoringTrade Signal GenerationMachine LearningData Engineering

Jiva-ai

Founding AI Engineer(Capstone)

Nov 2024 – Aug 2025 · 9 mos · Austin, Texas, United States

Shipped a 5-agent LangGraph LLM platform, cutting grocery waste 28% and delivery miles 32%.
Deployed LangChain RAG pipeline generating store-level promo copy; A/B test drove +8% click-through in 10k emails.
Automated retraining in SageMaker (Lambda, MLflow) and slashed forecast prep time from 8h to 45min.
Containerised models (FastAPI + Docker); GitHub Actions (CI/CD) drift alerts reduced incident triage 40%

LangGraphLangChainSageMakerFastAPIDockerCI/CD+2

Jon brumley texas venture labs

Teaching Assistant

Aug 2024 – May 2025 · 9 mos · Austin, Texas, United States · Hybrid

Assisted Prof. Ian Bidot in advising 20+ businesses on refining their business models, designing surveys and implementing customer segmentation strategies led to a 20% increase in customer base within 6 months.
Assisted in market research and business modeling and addressed the needs of both students and startup companies.

Business ModelingMarket ResearchCustomer SegmentationBusiness Analytics

Construction industry institute

Data Engineering Intern

May 2024 – Aug 2024 · 3 mos · Austin, Texas, United States · Hybrid

Re-platformed Excel (VBA) to AWS Redshift star-schema; cut query latency 20% and enabled sub-second dashboard refresh.
Orchestrated real-time ELT (Glue → EMR). Partnered with product owner to cut analyst prep time 40%.
Performed Quality assurance tests for all the VBA tools managed by the CII. Identified key issues, optimized the tools, and ensured they were error-free.

AWS RedshiftVBAData Quality AssuranceData Engineering

Jon brumley texas venture labs

Associate Consultant (Data Science)

Jan 2024 – Apr 2024 · 3 mos · Austin, Texas, United States · On-site

Developed a dynamic pricing strategy by creating an interactive Tableau dashboard that enabled real-time scenario analysis and machine learning-driven insights, projecting a 15% increase in revenue potential.
Led A/B testing across multiple industry verticals by employing rigorous algorithm performance evaluation and statistical methodologies to optimize customer segmentation and accelerate market entry by 2 months.

TableauMachine LearningA/B TestingBusiness Analytics

Kantar

Senior Data Analyst

Apr 2022 – Jul 2023 · 1 yr 3 mos · Bengaluru, Karnataka, India · On-site

Streamlined the data cleaning processes using MS Excel and SQL to support efficient predictive modeling and statistical analysis across 5 projects that have reduced the timeline of projects by up to 30% on average.
Developed efficient data pipeline models using Python and VBA to extract brand power metrics for 5 categories across 28
countries, improving business performance by 15%.
Coordinated cross-functional teams to reduce project timelines by 15% through agile methodology.

SQLData Pipeline ModelsPredictive ModelingData Analysis