Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

Driven Computer Science student with hands-on experience building AI-powered systems, automation workflows, and computer vision pipelines. Comfortable working across the full stack—from prototyping in Python to integrating into production codebases—and collaborating with engineering teams in fast-paced, real-world environments. Proactive problem-solver who learns new technologies quickly and delivers tangible results, including production integration of image enhancement/telemetry systems and building human-in-the-loop AI automation tools with strong input validation and safety controls.…Driven Computer Science student with hands-on experience building AI-powered systems, automation workflows, and computer vision pipelines. Comfortable working across the full stack—from prototyping in Python to integrating into production codebases—and collaborating with engineering teams in fast-paced, real-world environments. Proactive problem-solver who learns new technologies quickly and delivers tangible results, including production integration of image enhancement/telemetry systems and building human-in-the-loop AI automation tools with strong input validation and safety controls.

Neil Jonathan Yerraguntla

Software Engineer, Web Developer, Full Stack Developer, +6





Driven Computer Science student with hands-on experience building AI-powered systems, automation workflows, and computer vision pipelines. Comfortable working across the full stack—from prototyping in Python to integrating into production codebases—and collaborating with engineering teams in fast-paced, real-world environments. Proactive problem-solver who learns new technologies quickly and delivers tangible results, including production integration of image enhancement/telemetry systems and building human-in-the-loop AI automation tools with strong input validation and safety controls.…Driven Computer Science student with hands-on experience building AI-powered systems, automation workflows, and computer vision pipelines. Comfortable working across the full stack—from prototyping in Python to integrating into production codebases—and collaborating with engineering teams in fast-paced, real-world environments. Proactive problem-solver who learns new technologies quickly and delivers tangible results, including production integration of image enhancement/telemetry systems and building human-in-the-loop AI automation tools with strong input validation and safety controls.

Available to hire

Driven Computer Science student with hands-on experience building AI-powered systems, automation workflows, and computer vision pipelines. Comfortable working across the full stack—from prototyping in Python to integrating into production codebases—and collaborating with engineering teams in fast-paced, real-world environments.

Proactive problem-solver who learns new technologies quickly and delivers tangible results, including production integration of image enhancement/telemetry systems and building human-in-the-loop AI automation tools with strong input validation and safety controls.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Beginner

Beginner

Beginner

Beginner

Language

English

Fluent

Work Experience

Software Engineering Work Experience at Sencieve

July 1, 2026 - Present

Designed and implemented an adaptive computer-vision image enhancement pipeline (CLAHE) for a railway track inspection camera fleet to improve frame quality under variable lighting. Built a two-layer contrast analysis system: a global metrics gate (e.g., RMS contrast, dynamic range, flat-area fraction) for go/no-go enhancement decisions and a per-tile 8x8 normalized contrast grid for local clip-limit tuning. Calibrated detection/enhancement thresholds against OwlEye camera data and validated accuracy versus human judgment. Collaborated on lightweight, serialisable per-frame telemetry (JSON/CSV) for fleet-wide deployment. Integrated into a production C# codebase using Emgu.CV, Protobuf, generics, and polymorphic shared libraries, prototyping key components in Python prior to C# integration.

Warehouse & Hospitality Operative (Agency) at MK Personnel

June 1, 2026 - Present

Worked across fast-paced food production, warehousing/logistics, and hospitality settings, adapting quickly to multiple operational environments and being praised as a fast learner. Responsibilities included production-line tasks, stock rotation and replenishment, transporting and assembling materials, unloading and re-labelling shipments, and completing room-by-room housekeeping with checklist sign-off. Demonstrated teamwork, communication, and physical endurance in roles requiring minimal training.

Warehouse & Hospitality Operative at MK Personnel (Agency)

June 1, 2026 - Present

Supported operations across food production, warehouse logistics, and hospitality roles, adapting quickly to diverse environments. Deliciously Ella: operated a fast-paced production line, pressed oat trays, prepared truffles for packaging, managed chiller stock rotation, and restocking. Plant Designs: transported heavy materials and assembled shelving units in teams. Tutti Bambini: unloaded containers, opened/relabelled products, and repacked items for resealing and dispatch. Delta Marriott Hotel: cleared heavy furniture and clutter, reorganised storage, and completed room-by-room housekeeping with checklist sign-off.

AI Systems Builder / Consultant (Freelance)

January 1, 2025 - Present

Developed AI-powered and rule-based automation systems to improve business development and marketing workflows, increasing operational efficiency by 20% and reducing manual processing time by 6–7 hours per week. Collaborated with early-stage SaaS founders to audit manual processes and design scalable automation using Make.com, Tally.com, and AI APIs. Prototyped attribution and tracking workflows for subscription products using Stripe payment links and lightweight landing flows. Evaluated human-in-the-loop versus full automation trade-offs with 10+ founders to ensure reliability in business-critical workflows.

AI Systems Builder / Consultant at Freelance

January 1, 2025 - Present

Developed AI-powered and rule-based automation systems to improve business development and marketing workflows, improving operational efficiency by ~20% and reducing manual processing time by 6–7 hours per week. Worked with early-stage SaaS founders to audit manual processes and design scalable automation alternatives using Make.com, Tally.com, and AI APIs. Prototyped attribution and tracking systems using Stripe payment links and lightweight landing flows. Evaluated automation trade-offs (human-in-the-loop vs full automation) with 10+ founders to maintain reliability for business-critical workflows.

Introduction to Technology Apprenticeship (simulation) at Accenture UK

December 1, 2024 - December 31, 2024

Completed a client case study simulation and identified process shortcomings, recommending cloud computing as the optimal solution. Prepared and delivered a slide deck presenting the proposed solution to senior management at Accenture.

Technology Work Experience (Data/Analytics Project) at Experian Nottingham

November 1, 2024 - November 30, 2024

Participated in an in-person technology work experience event. Analysed data for an Alton Towers marketing campaign, visualised results in a team of 5–6, and presented findings to 30+ peers and faculty, gaining practical exposure to digital technology solutions and contributing to projects aimed at improving operational efficiency.

Data Science Job Simulation (self-directed coursework) at British Airways (Forage)

November 1, 2024 - Present

Completed a multi-week job simulation, scraping and analyzing 1,000+ customer reviews with Python to extract insights that improved data accuracy of satisfaction ratings by 70%. Built a predictive model to identify factors influencing customer buying behaviour.

Technology Work Experience (Data/AI Project) at Experian Nottingham

November 1, 2024 - Present

Analyzed data for an Alton Towers marketing campaign and visualized findings in a team of 5–6, presenting results to 30+ peers and faculty. Gained practical exposure to digital technology solutions and contributed to a team project aimed at improving operational efficiency.

Data Science Job Simulation (self-directed) at British Airways (Forage)

November 1, 2024 - Present

Scraped and analysed 1,000+ customer reviews using Python to reveal key insights and improve data accuracy of satisfaction ratings by ~70%. Built a predictive model to identify factors influencing customer buying behaviour.

Data Science Job Simulation (self-directed learning) at British Airways (Forage)

November 1, 2024 - December 31, 2024

Scraped and analysed 1,000+ customer reviews using Python to identify key insights improving the accuracy of satisfaction ratings by ~70%. Built a predictive model to identify factors influencing customer buying behaviour.

Technology Work Experience (In-person) at Experian Nottingham

November 1, 2024 - November 30, 2024

Analysed data for an Alton Towers marketing campaign and visualised findings within a team of 5–6, presenting results to 30+ peers and faculty. Gained practical experience in digital technology solutions and contributed to work focused on improving operational efficiency.

Cafe Assistant at Strudwick's Cafe

July 1, 2023 - August 31, 2023

Provided customer service to 70+ daily customers and collaborated with coworkers to improve kitchen operations. Increased customer satisfaction ratings by ~40% and improved operational efficiency by ~20% during peak hours.

Education

BSc Computer Science with Artificial Intelligence (with Industrial Placement Year) at Royal Holloway, University of London

September 1, 2025 - August 4, 2026

A-Levels at Walton High Brooklands, Milton Keynes

September 1, 2018 - June 30, 2025

BSc Computer Science with Artificial Intelligence (with Industrial Placement Year) at Royal Holloway, University of London

September 1, 2025 - August 4, 2026

BSc Computer Science with Artificial Intelligence (with Industrial Placement Year) at Royal Holloway, University of London

September 1, 2025 - August 4, 2026

A-Levels: Mathematics, Physics, Business Studies (plus AS-Level Computer Science) at Walton High

September 1, 2018 - June 30, 2025

BSc Computer Science with Artificial Intelligence (with Industrial Placement Year) at Royal Holloway, University of London

September 1, 2025 - August 4, 2026

Qualifications

None listed (skills/education only)

January 11, 2030 - August 4, 2026

Industry Experience

Computers & Electronics, Software & Internet, Transportation & Logistics, Financial Services, Professional Services, Education, Retail, Travel & Hospitality, Manufacturing