Dimanjan Dahal
I help growing online retail brands and modern digital merchants maximize their return on investment by automating tedious daily workflows and engineering dependable software systems. As the founder of Sajedar (साजेदार, meaning "Partner"), I work alongside brand owners as both a technical builder and a strategic counselor. I help them master and adapt to platform algorithms, configure high-converting ad setups, avoid costly algorithmic traps in the digital economy, and diversify their customer acquisition channels so their business stays resilient.
Real-world retail is fast-moving, chaotic, and messy. Because of that, my work focuses relentlessly on speed, accuracy, and dynamism to navigate real-world messiness. Whether diagnosing erratic ad tracking, deploying 24/7 sales assistants that close orders during off-hours, or synchronizing inventory across platforms, the goal is always clear: robust, dependable execution that increases net profitability without swelling headcount.
My background pairs hands-on machine learning engineering at Hyperce and Restronaut.ai with operational leadership managing high-density educational platforms. I deliver grounded, jargon-free technical and non-technical guidance that turns complex technology into predictable revenue growth.
Featured Venture
A dedicated workflow automation and growth partner for online retail brands and e-commerce stores. We combine automated customer systems with strategic guidance to help merchants maximize advertising return on investment, streamline day-to-day operations, and navigate the shifting digital economy with speed, accuracy, and dynamism.
- Workflow & Sales Automation: Deploying 24/7 conversational sales assistants across WhatsApp, web chat, and Instagram that answer customer product questions instantly, recover abandoned carts, and capture orders without growing human support costs.
- Algorithm & Ad Setup Counseling: Advising retail brands on Meta and Google ad setups, accurate conversion tracking, and how platform algorithms actually work, preventing expensive ad spend waste on low-intent traffic.
- Avoiding Algorithmic Pitfalls & Diversification: Helping retailers diversify their customer touchpoints and sales channels, protecting their business against sudden ad account suspensions, ad fatigue, and algorithm volatility.
- Comprehensive Business Operations: Providing accessible, jargon-free counsel across inventory synchronization, customer relationship management (CRM), and overall online business operations so founders build resilient, compounding assets.
Work Experience
Founder & Strategic Growth Partner
Sajedar- Partnering with online retail and e-commerce brands to maximize return on investment by automating customer service, lead qualification, and order workflows.
- Counseling founders on paid advertising setups, platform algorithms, tracking accuracy, and avoiding costly algorithmic traps across digital channels.
- Helping stores diversify customer touchpoints and revenue streams to insulate their operations from single-platform dependency.
- Operating with high speed, accuracy, and dynamism to help founders conquer the daily messiness of real-world retail operations.
AI & Machine Learning Engineer
Restronaut.ai / Hyperce- Engineered machine learning pipelines for customer segmentation and real-time behavioral personalization.
- Developed FastAPI inference microservices and background job workers for high-throughput model execution.
- Built explainable AI visualizations with D3.js, translating model weights and decision boundaries for non-technical stakeholders.
- Collaborated on end-to-end data unification between frontend client applications and backend ML models.
Academic Coordinator & IT Head
ClampHook- Managed daily scheduling and live operations for ~2,000 active students and 40+ freelance/staff instructors.
- Maintained and extended an internal MERN-based platform to automate class enrollments and test distribution.
- Authored Python scripts with OCR image processing to parse, grade, and aggregate handwritten mock test scores automatically.
- Exercised cross-functional leadership across operations, administration, and technical crisis management.
Selected Technical Projects
Reimplementation of DeepMind's AlphaZero reinforcement learning framework applied to Baghchal, a traditional asymmetric Nepali board game (Tigers vs. Goats). Incorporates neural policy/value evaluation and Monte Carlo Tree Search (MCTS).
Financial intelligence and sentiment tracking platform for the Nepalese Stock Market (NEPSE). Features scrapers for market reports, algorithmic news summarization, and community market analytics.
Visual supply chain and market economics breakdown of Himalayan Large Cardamom (अलैंची). Maps the 7.4x price escalation and margin distribution from Taplejung hillside farmers to international supermarket retail.
Visual and written taxonomy of Lights-Out Manufacturing across 5 budget tiers (from $50k unattended cobot cells to $100M+ cognitive megafacilities). Includes hardware blueprints and operational insights.
Technical Competencies
Contact & Inquiries
Whether you want to discuss deploying custom AI agent systems for your company, explore machine learning architectures, or discuss partnership opportunities, feel free to reach out.