My product approach combines product judgment with enough engineering to build what I specify. My work spans product discovery and delivery, PRD and FDD writing, UI/UX wireframing, roadmapping, SOP design, and 0→1 launches; AI and ML including LLM agents, RAG, tool calling, OpenAI API, AWS Bedrock, XGBoost, YOLO, NLP sentiment, and Google OR-Tools; and engineering with React, Node.js / Express, PostgreSQL, DynamoDB, REST APIs, webhooks, and AI coding agents. I also work with AWS EC2, Lambda, SQS, EventBridge, CloudWatch and S3; WhatsApp Cloud API and Flows, Shopify and Shiprocket; and Power BI, Advanced Excel, Zoho CRM, HubSpot and Sales Navigator.
At Sukoon Unlimited, I cut turnaround time by 25%.
At Panini AI Services, I improved efficiency by 25% with data-driven solutions.
At Panini AI Services, I cut process delays by 30% with new SOPs.
At Panini AI Services, I built a pipeline of 250+ qualified prospects.
At Presidency University, Bengaluru, I raised ₹5 lakh+ to build SmartAqua, an AI and IoT irrigation system.
SmartAqua field pilots cut water use by 35%.
I led 10+ AI projects with a 15-person team at Presidency University, Bengaluru.
I am open to product manager roles where I can own a problem end to end.
The fastest way to reach me is email: erviraj1745@gmail.com.
My LinkedIn is linkedin.com/in/virajmagdum, displayed as https://www.linkedin.com/in/virajmagdum.
My displayed phone number is <redacted>; its link target is redacted as tel:<redacted>.
My resume is Viraj_Magdum_Resume.pdf, displayed at https://virajmagdum.netlify.app/Viraj_Magdum_Resume.pdf.
At Harvested Robotics, I saved 10–12% on procurement.
At Sukoon Unlimited, I raised NPS by 22% and CSAT by 18%.
At Sukoon Unlimited, I built and trained a team of 15+ caregivers and used sentiment analysis to spot churn risk early.
The warehouse system tracks 50+ items daily.
A 4–5 person operations team uses the warehouse system.
At Harvested Robotics, I cut manual work by 45% with GenAI workflow automations.
At Harvested Robotics, I built a YOLO weed-detection model.
At Harvested Robotics, 120+ farmer interactions yielded insights that sped up product cycles by 25%.
The warehouse system uses XGBoost to forecast raw-material needs from past usage and season, accounting for demand swings between summer and winter products.
Warehouse supplier quality tracking links each raw-material receipt to its QC certificate and batch, and flags missing or failed checks.
Customers sent 40–50 WhatsApp chats a day that the team struggled to answer quickly and correctly.
I built CAS with no tech team and no budget for more software.
CAS uses an AI agent with RAG and tool calling, a manager-editable knowledge base, live order and price checks, and handoff to a person when unsure; it replies only from verified company information and never guesses a price.
CAS sends a feedback check-in after 1 month, then upsell and cross-sell after 4 months.
CAS provides campaign scheduling, WhatsApp template creation, automatic lead follow-ups, and a GST-ready quotation builder from the dashboard or WhatsApp.
CAS removed ₹3L/yr in tool cost.
CAS handles 1,200+ chats a month.
8 people use CAS daily.
I produced the FDD, PRD and UI/UX for OPTRA ONE and shipped it with 1 SDE intern.
OPTRA ONE serves AC, RO and electrical service businesses that assign technician jobs over phone calls.
OPTRA ONE scheduling treats job assignment as a vehicle routing problem with time windows using Google OR-Tools.
OPTRA ONE scheduling must respect 10+ rules, including skills, double-booking, working hours, travel time, leave, urgency and customer-preferred times.
I also defined the 10+ rules and the goals the OPTRA ONE scheduler balances.
OPTRA ONE addresses the time owners lose deciding who goes where, as well as payments and renewals slipping.
I designed OPTRA ONE around the constraint that owners won't fill long forms.
I designed every OPTRA ONE screen and flow for business owners and technicians, defining feature behavior and edge cases and guiding the SDE intern from specification to launch.
OPTRA ONE is live on both app stores and piloting with AIRTH's service team and channel partners to run daily field jobs.
I built AIRTH's warehouse system with 1 intern; it is in daily use.
The warehouse system replaces an editable Excel stock sheet with one signed-in daily ledger per warehouse covering production, sales, returns and damage, samples, transfers, inward stock and wastage.
The warehouse system was built for an operations team that needed it to be quicker than Excel.
AIRTH paid ₹3 lakh a year for Respond.io, yet leads, quotes, payments and orders still lived in separate tools.
I have moved from operations and growth roles into product, staying close to both data and customers. At AIRTH Research, I am the sole tech and product owner in a non-tech company, building products from problem to launch.
At AIRTH, I designed and built CAS end to end, solo; it is in daily use.
My headline is Product at AIRTH. I am based in New Delhi, Delhi, India, and my About page is https://virajmagdum.netlify.app/. My tagline is “Sculpting Stories from silent Data!”
Product Manager at AIRTH (Dec 2025 to Present)
Business Operations Analyst at Sukoon Unlimited (Dec 2024 to Jun 2025)
Business Analyst & Marketing at Panini AI Services (Jan 2024 to Sep 2024)
At Panini AI, I analyzed business requirements to identify key objectives and align solutions with organizational goals. I gathered and interpreted critical data to inform decision-making, and developed comprehensive Standard Operating Procedures (SOPs) to streamline and automate processes. I collaborated with cross-functional teams to deliver solutions effectively to hosting agents, supporting seamless implementation and operational efficiency. My work emphasized problem-solving, process optimization, and enhanced business performance.
As a Marketing Intern at Panini AI, I used Zoho CRM to manage and analyze customer interactions throughout the customer lifecycle. I used LinkedIn Sales Navigator for lead generation, identifying potential clients and nurturing relationships, and supported HubSpot-driven marketing strategies that contributed to campaign success and brand visibility. My marketing work focused on analytical and strategic approaches to customer acquisition and retention.
Presidency University Bangalore: Bachelor of Technology - BTech (Aug 2020 to Jul 2024)
Sanjay Ghodawat Institute: HSC (Mar 2019 to Feb 2020)
ST. ALPHONSA GROUP OF INSTITUTIONS: SSC (Mar 2017 to Apr 2018)
My skills and strengths include cloud computing, software development, SaaS, AWS Lambda, Google Cloud Platform, Amazon Web Services, product launch, Jira, software product management, strategic thinking, program management, relationship building, operations, problem solving, oral communication, analytical skills, workflow management, business operations, Feature-Driven Development, SOP development, strategy, business strategy, team leadership, organizational development, change management, business marketing, lead generation, LinkedIn marketing, LinkedIn Sales Navigator, Zoho CRM, HubSpot Marketing Hub, IT business analysis, BRD, data analysis, operational planning, databases, early-stage startups, interpersonal communication, leadership, project management, IoT, team building, CRM, operations management, and research skills.