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Ashok Sravanam Background

Ashok Sravanam.

Machine Learning Engineer

Recent M.S. Computer Science graduate focused on AI, computer vision, and data analytics. Open to opportunities that align with my machine learning engineering skills.

About .

I'm a Machine Learning Engineer and a recent M.S. Computer Science graduate from the University of the Pacific (May 2026).

My journey started in Mechanical Engineering at BITS Pilani, but my passion for data and intelligence led me to code. I've since built real-time feedback systems for singers, optimized soccer match analysis with Computer Vision, and processed massive datasets for food processors.

Beyond Code

When I'm not training models, I'm likely watching Real Madrid dominate Europe (Hala Madrid! ⚽️🇪🇸), playing badminton, or analyzing chess positions.

Real Madrid FanSoccerBadmintonChess
Ashok Profile

Education

M.S. in Computer Science

University of the Pacific

May 2026 • Stockton, CA

GPA: 4.0

B.E. in Mechanical Engineering

BITS Pilani (Hyderabad Campus)

May 2019 • Hyderabad, India

Experience

Jul 2021 — May 2024

Data Engineer

COFOODS Processors Pvt LtdGudivada, India

Developed ETL pipelines processing 500K+ records, boosting reporting speed by 40%. Built Power BI dashboards and optimized SQL schemas.

PythonSQLPower BIETLTableau
Jun 2019 — Mar 2021

Content Developer (EdTech)

BYJU’S (Think and Learn Pvt. Ltd.)Bengaluru, India

Created interactive physics learning modules for 20K+ students. Improved engagement by 50% through simplified visual explanations.

PhysicsEducation TechnologyContent creation
Jul 2018 — Dec 2018

Data Analytics Intern

GenpactBangalore, India

Automated KPI reports using Python and Excel macros, reducing reporting time by 66%.

PythonExcelData Analytics

Projects

Everything I've built — tap a project for the full case study or live link.

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Tactico AI - Soccer Video Intelligence preview
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Tactico AI - Soccer Video Intelligence

AI sports analytics for player, ball, and possession insights from uploaded match footage.

YOLOv8OpenCVPython

Compact Build

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Emotion Recognition

Real-time emotion detection with computer vision models.

Computer VisionTypeScriptML

Compact Build

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Robo Wars Combat Robot

3rd place hardware team build focused on durability and performance.

Mechanical DesignFabricationTeam Build

Compact Build

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Education UI Component System

Reusable React component system study for modular education interfaces.

ReactJavaScriptUI Components

Capability Map

ML Systems

  • Routed questions by intent before generationProof
  • Grounded answers with hierarchical retrievalProof
  • Delivered low-latency feedback loopsProof

Web Production

  • Structured trust-first conversion hierarchyProof
  • Standardized multi-page growth funnelsProof
  • Blended learning flow with scheduling actionsProof

Self-Hosted Ops

  • Operate HAProxy, DNS, and TLS stackProof
  • Run PostgreSQL, pgvector, and graph workloadsProof
  • Use Valkey/Redis for fast session stateProof