Hi, I'mDhruvalAnandkar.
CS (Honors) @ Ashland · |
“The best technology is invisible — it just works.”
About
I build systems that solve real problems, not just pass tests.
Experienced in building Java-based backend systems and scalable Python data pipelines — from ETL architecture to Power BI dashboards and production ML models.
Pursuing my B.S. in Computer Science (Honors) at Ashland University (Dec 2026), balancing engineering internships with applied research leadership.
Graduating December 2026 · Open to Full-Time Software & Data Engineering Roles
Business Intelligence Intern
Ashland University
Building Power BI dashboards, Python data pipelines, and Azure-hosted data models driving university-wide decisions.
Research Team Lead
AgriScience IoT Project
Leading a cross-disciplinary team building an AI + IoT platform for real-time soil health monitoring with ML-driven recommendations.
“The best technology is invisible — it just works.”
Expertise
Tech Stack
Four targeted pillars — optimized for Data Engineering, BI, AI/ML, and Software Engineering roles.
Software Engineering & Backend
Data Engineering & Infra
Business Intelligence & Analytics
AI & Machine Learning
Case Studies
Featured Projects
Each project is a case study — built with intent, measured by impact.
Ashland Public Transit
Lead Full-Stack Developer · Senior Thesis
Distributed Fleet Management for Rural Transit
End-to-end MERN-stack system for Ashland's public transit network — real-time bus tracking via Leaflet, QR-code ticketing, and a dispatcher dashboard that gives operators full fleet visibility.
Technical Impact
Replaced a fully manual dispatch process; real-time tracking reduced missed stops and enabled live rider-count enforcement across the fleet.
Key Feature
Built a Dynamic Fare Engine and server-side Capacity Check to prevent overbooking, with live seat-count enforced at booking time.
AgriScience
Research Lead · URCA Symposium Presenter
IoT Soil Health Monitoring with ML
Deployed NodeMCU (ESP8266) sensors across soil beds, streaming pH, moisture, and temperature to Firebase in real time. A Random Forest Classifier analyses the readings and triggers automated irrigation.
Technical Impact
94% classifier accuracy on lab dataset; TensorFlow model for plant-disease detection integrated from camera feed.
Key Feature
Automated irrigation control based on real-time soil moisture thresholds — zero manual intervention once calibrated.
JobGenie AI
Lead Developer · FastAPI + OpenAI
LLM-Powered Resume-to-Job Matching
Platform that embeds resumes and job descriptions using OpenAI Embeddings, then uses cosine similarity via LangChain to surface the best-fit roles and auto-generate tailored cover letters.
Technical Impact
Reduced manual job-search research time by ~70%; LangChain pipeline processes a full resume-JD pair in under 3 seconds.
Key Feature
Automated Skill Gap Analysis dashboard — shows exactly which skills to learn for each role.
CortexLab
Backend Architect · FastAPI + LangGraph
Multi-Agent AI Research Assistant
Built for Google FalconHack. An autonomous multi-agent system powered by LangGraph and Gemini API that scans academic literature, identifies research gaps, and generates publication-ready paper drafts.
Technical Impact
Reduced literature-to-draft time from days to under 15 minutes; LangGraph state machine handles dynamic replanning on dead ends.
Key Feature
Planner → Researcher → Writer pipeline exports structured .docx paper drafts with citation formatting.
Research
Publications
Applied research at the intersection of systems, AI, and sustainable agriculture.
Impact of Containerization on Deep Learning Performance
Evaluated Docker and Kubernetes containerization overhead versus bare-metal execution for GPU-accelerated deep learning workloads on an NVIDIA RTX 3060. Benchmarked training throughput, memory utilisation, and cold-start latency across CNN and Transformer workloads.
Key Finding
Containerization reduced idle RAM from 42% → 15% and doubled throughput on compute-intensive tasks, proving modern container runtimes impose negligible GPU overhead when configured correctly.
Full paper available on request.
AgriScience: Automated Irrigation Control via Deep Learning
Presented at the Undergraduate Research and Creative Activity (URCA) Symposium. Describes the full AgriScience IoT pipeline — from NodeMCU sensor deployment to Firebase ingestion, Random Forest soil-health classification, and automated solenoid-valve irrigation control.
Key Finding
94% classification accuracy on held-out soil samples; CNN-based plant disease detection module achieved 89% accuracy on the PlantVillage dataset.
Full paper available on request.
Experience & Leadership
Timeline
Business Intelligence Intern
Ashland University
Building Power BI dashboards that surface enrollment and operational KPIs for senior administration. Writing Python ETL pipelines that pull from multiple SQL databases and push to Azure-hosted data models.
President
LeadershipACM-W Club @ Ashland University
Leading the ACM-W chapter, organising technical workshops, hackathon prep sessions, and mentorship programmes to advance inclusion in computing.
International Student Representative
LeadershipAU Senate
Advocated for international student policy and cultural growth within the Ashland University Senate. Proposed and helped pass initiatives addressing visa guidance, housing equity, and multicultural programming.
Research Team Lead
AgriScience IoT Project
Leading cross-disciplinary research team to design and deploy an IoT sensor network for real-time soil monitoring. Architecting the ML pipeline for nutrient deficiency detection and integrating with a FastAPI + React dashboard.
IT Intern
Smith Structures
Automated internal reporting workflows, reducing manual data entry time by 40%. Developed Python scripts to consolidate project status data from multiple sources into a unified tracking system.
IT Intern
GSECL
Maintained enterprise IT infrastructure, documented network topology, and optimised internal ticketing workflows for the technical operations team.
Recognition
Honors & Awards
A record of consistent excellence across academics, leadership, and research.
AU International Presidential Scholarship
Full merit scholarship awarded to top international students at Ashland University for outstanding academic achievement.
New American University Scholar
Prestigious merit scholarship from Arizona State University, recognising academic potential and leadership.
Early Promise Award
Recognised by Ashland University for outstanding early academic performance and demonstrated potential in Computer Science.
PepsiCo Scholarship
Merit-based scholarship awarded by PepsiCo in recognition of academic excellence and leadership potential in STEM.
UN SDG Innovation Challenge
Selected participant in the SDG 2025 Innovation Challenge, contributing technology-driven solutions to global sustainability goals.
2nd Rank — Parul University
Certificate of Excellence awarded for 2nd place academic performance in Computer Science at Parul University.
Python for Data Science
Professional certification from Sololearn, validating advanced proficiency in Python for data analysis and machine learning pipelines.
Beyond Code
Volunteering
Leadership and service outside the classroom — where values meet action.
President — Indian Catholic Youth
Arizona State University
2021 – 2022
Led the Indian Catholic Youth organisation at ASU, growing active membership and increasing community engagement by 40% through events, prayer retreats, and cross-cultural outreach programmes.
Impact
40% increase in community engagement
Lead Actor & Volunteer
Nitya Sahayak
2021
Starred in and co-produced a short film tackling awareness around social issues in collaboration with the Nitya Sahayak NGO. The film reached over 3,000 people across digital and community screenings.
Impact
3,000+ viewers reached