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AI Research Engineer with 2+ years in Data Analytics & Machine Learning
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First Class with Distinction in B.E Computer Science Engineering with over 2 years of professional experience, with a strong foundation in data analytics, automation, and applied AI. Skilled in statistical and data analysis, machine learning, deep learning, and generative AI, with a proven record of delivering high-impact, real-world AI and data solutions. Recognized for analytical thinking, problem-solving, and stakeholder communication, with a demonstrated ability to drive data-informed business decisions.
University of Bristol
MSc Data Science · Data Science
August 1, 2025 – June 30, 2026
Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College
Bachelor of Engineering · Computer Science Engineering
August 1, 2019 – June 30, 2023
Founding Voice, Origin Chains
Founding Voice
January 1, 2026 – Present
India
St Peter's Hospice
Data Researcher
January 1, 2026 – February 1, 2026
India
University of Bristol
Research Assistant
November 1, 2025 – Present
India
University of Bristol
Academic Representative
October 1, 2025 – Present
India
180 Degree Consultancy
Lead Data Science Consultant
October 1, 2025 – December 1, 2025
India
Tata Consultancy Services (TCS)
GenAI Developer
December 1, 2024 – September 1, 2025
India
Tata Consultancy Services (TCS)
Automation Engineer
June 1, 2023 – November 1, 2024
India
Detection of Parkinson's Disease using Machine Learning
June 1, 2026 – Present
Applied Histogram of Oriented Gradients (HOG) for feature extraction and trained a Random Forest classifier, achieving 88% accuracy. Demonstrated potential for healthcare AI applications by classifying patterns from patient and healthy drawings, contributing to early disease detection research.
ETH Oxford Hackathon
February 1, 2026 – February 1, 2026
Completed Sui Object Model Workshop, developed composable Move smart contracts, verified on-chain using PTBs, and solved hands-on blockchain challenges involving contract analysis and on-chain scripting. Proposed an Agentic Data Cleaning System under the AI Middleware track using a master-worker multi-agent architecture with rule-based execution, scalable orchestration, and guardrails for reliable data workflows.
Hatch: IT Competition
November 1, 2025 – November 1, 2025
Secured Runner-Up by developing a commercially viable strategy for Avon Wildlife Trust to revive their Wildlife Film-making Residential for primary school students. Designed The Digital Detox Documentary Mission, integrating action cams and AI-assisted editing to help young learners reconnect with nature while ensuring the program remained cost-effective, sustainable, and inclusive.
SPARKS Bristol
October 1, 2025 – October 1, 2025
Collaborated in a team to tackle a real-world business challenge, developing strategies to engage visitors and encourage action on the 17 UN Sustainable Development Goals. Engaged with vendors to identify their priority SDGs and key blockers, gathering insights to inform practical, actionable solutions. Proposed data-driven recommendations that enhanced vendor engagement, supported Sparks Bristol's sustainability initiatives, and demonstrated creativity and strategic thinking in a practical, fast-paced environment.
Codechella - ChatAndBuild Project: Health360 - An AI-Powered Health Companion
October 1, 2025 – October 1, 2025
Built using ChatAndBuild, an AI full-stack coding agent enabling rapid prototype development through natural language prompts. Developed three integrated modules - MediMate (symptom-based health insights), MoodTrackr (mental well-being tracking), and FirstAidAI (emergency response guidance). Aimed to improve healthcare accessibility by helping users take the right first steps before consulting professionals. Future plans include integrating personalized AI-driven health recommendations using LLM.
Tech for Good : Next Tech Girls x Motability Operations Challenge
October 1, 2025 – October 1, 2025
Developed the prototype interface for "Mo Bot", an AI assistant enabling call center agents to access real-time technical, troubleshooting, and warranty guidance during customer calls. Proposed and implemented a RAG-based query pipeline capturing agent inputs, retrieving relevant information from internal (AskMO) and external sources, constructing prompts, performing LLM inference via AWS Bedrock, and delivering precise, context-aware responses back to the agent.
Azure Data Scientist Associate (DP100)
Microsoft Certified
June 1, 2026 – Present
Azure AI Engineer Associate (AI102)
Microsoft Certified
June 1, 2026 – Present
Power BI Data Analyst Associate (PL300)
Microsoft Certified
June 1, 2026 – Present
Cloud Practitioner
AWS
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in diverse projects, including hackathons, IT competitions, and 'Tech for Good' challenges, showcases a broad interest beyond core technical tasks and a commitment to applying technology for social good. Their academic and professional experiences align well with a research-oriented role, demonstrating curiosity and a drive for innovation. The range of roles, from GenAI Developer to Data Researcher and Consultant, indicates versatility and a willingness to engage with different problem domains, which is beneficial for a dynamic research environment.
Soft Skills & Operational Fit
The candidate demonstrates strong collaboration skills through team-based projects and consultancy roles. Their experience as an Academic Representative and Lead Data Science Consultant highlights leadership and stakeholder communication abilities. The recognition for delivering high-impact solutions under tight deadlines suggests good work attitude and stress handling. The diverse project portfolio indicates adaptability and a proactive approach to problem-solving.