Product Designer with Business Analysis & AI
Ashish
Ramtekkar
I transform complex workflows into intuitive digital products by combining business strategy, visual design, and user-centered thinking.
AREAS OF
FOCUS
I turn complex business requirements into intuitive digital experiences through product thinking, interaction design, design systems, and AI-enabled workflows.
JUNE 2026 — PRESENT
Brand Designer
KuberHunt, Mumbai
- —Built and evolved KuberHunt's visual identity across digital products, marketing, and internal communication.
- —Created reusable design systems and brand templates improving consistency across campaigns.
- —Designed App Store assets, editorial finance content, and marketing creatives to support product launches and keep the brand consistent across acquisition channels.
- —Standardized internal communication materials including documentation, offer letters, signatures, and presentation templates.
MAY 2025 — JUNE 2026
Junior Business Analyst
Vidarbha Infotech, Mumbai
- —Managed documentation and coordination for 40+ concurrent government tenders (GeM, MahaTender, CPPP) across PQ/TQ, submissions, and post-LOA deliverables.
- —Worked with OEMs, internal stakeholders, and clients to deliver compliant multi-stage tender submissions.
- —Drove OEM criteria extraction and technical-commercial alignment ensuring full RFP compliance.
- —Owned client communication and tracking pipelines for active bids, BG/EMD, and proposal lifecycles.
Dec 2022 — Jun 2023
Web Development Intern
Park Me Safe, Amravati
- —Designed and developed responsive UI using HTML, CSS, and JavaScript.
- —Created design assets using Canva & Figma; collaborated on UI/UX improvements.
- —Assisted in maintenance — implementing features, fixing bugs, and updating content.
Sep 2022
Web Development Intern
Coretechtive, Nagpur
- —Developed responsive UI components using HTML, CSS, and JavaScript.
- —Participated in design discussions and contributed to front-end solutions.
May 2019 — Jun 2019
Web Designer Intern
SchoolGuru Eduserve Pvt. Ltd., Mumbai
- —Created responsive web designs using HTML and CSS.
- —Developed HTML email templates for marketing communication.
Projects
Aug 2022 — Jun 2023PUBLISHED IN IJIRST
AI Video Summarization — FFmpeg & NLPRole — Research & Engineering
ChallengeManual video review does not scale — consuming long-form content is time-intensive for learners, reviewers, and media teams.
ApproachResearched summarization techniques, then built a pipeline combining FFmpeg keyframe extraction, transcript generation, and NLP summarization into a repeatable workflow.
OutcomeWorking prototype plus a research paper accepted and published in IJIRST, demonstrating measurable time savings on review workflows.
Jan 2020 — May 2020
Payroll & Attendance SystemRole — Product & Development
ChallengeSmall organizations lacked an affordable, admin-friendly way to manage payroll and attendance.
ApproachDesigned a controlled admin interface with clear data flows, role-based access, and simple reporting.
OutcomeDelivered a functional system used for internal payroll and attendance tracking.
Read full case study→
01 — Problem
Payroll in small organizations ran on spreadsheets and paper registers. Attendance was logged manually, salary calculation happened at month-end under time pressure, and every correction meant re-checking the whole sheet. Errors surfaced only after payslips were issued.
02 — Research
Interviewed the admin staff handling payroll and shadowed one full month-end cycle. Mapped every manual step, timed it, and logged where mistakes originated — mostly duplicate entries, missed leave adjustments, and inconsistent overtime rules.
03 — Personas
Admin (primary): needs speed, bulk actions, and confidence that numbers are correct. Manager (secondary): needs read-only visibility into team attendance. Employee (tertiary): needs to see their own attendance and payslip without asking anyone.
04 — User Flow
Login → role-based dashboard → mark or import attendance → auto-calculated salary preview → review flagged anomalies → approve → generate payslips → archive. Corrections re-enter at the review step instead of restarting the cycle.
05 — Wireframes
Low-fidelity screens for the attendance grid, salary preview, and payslip view. Explored three layouts for the attendance grid — calendar, table, and list — and tested them against the admin's mental model of a physical register.
06 — Iterations
V1 used a calendar view that broke down beyond ~20 employees. V2 moved to a dense editable table with sticky employee names and keyboard navigation. V3 added an anomaly panel surfacing missing punches and overtime outliers before approval.
07 — Final UI
A restrained admin interface: single accent colour reserved for actions and warnings, tabular numerals for all money and hour values, and a persistent summary bar showing headcount, total payable, and unresolved flags.
08 — Design Decisions
Chose an editable table over a calendar because the admin's existing register was tabular. Made approval irreversible but preview infinitely editable, so the risky action is clearly separated from the routine one. Role-based access kept the employee view read-only to avoid disputes.
09 — Outcome
Month-end payroll went from a multi-day manual exercise to a single reviewed pass, with anomalies caught before payslips were issued rather than after.
10 — Reflection
The biggest lesson was that matching an existing mental model beat a 'better' interface. If I revisited it, I would add an audit trail per edit and validate the anomaly rules with a larger organisation before generalising them.
Building more...
Skills &
Competencies
Design
Product
Business
Technical
Selected
Achievements
Published AI research paper in IJIRST.
Managed documentation across 40+ concurrent government tenders.
Established reusable brand systems and design standards for KuberHunt.
Graduated B.Tech in Artificial Intelligence — 8.47 CGPA.
Tools &
Stack
Design
Product
Engineering
AI
Studies &
Credentials
Education
2020 — 2023
B.Tech, Artificial Intelligence
G H Raisoni Institute of Engineering & Technology, Nagpur
8.47/10
2018 — 2020
Diploma, Computer Technology
G H Raisoni Polytechnic College, Nagpur
89.66%
2018
Senior Secondary (XII), Science
J. H. Poddar High School & Jr. College
2016
High School (X)
St. Xavier's High School
Certifications
NPTEL · 2021



