Raj Agent OS Portfolio
Agent OS style portfolio and writing platform for AI engineering work, Claude Code field notes, live system previews, and privacy-first engagement logging.
Context Engineer / Senior AI Developer at Accellor / IIT Mandi
I turn fuzzy product ideas into shipped AI systems:
context harnesses, agent workflows, data products, and the glue code that makes them useful.
Currently Senior AI Developer at Accellor, designing context engineering systems, RAG workflows, AI agents, and production generative AI products.
Current focus: Context + RAG + Agents
Mode: Product-minded Context Engineering
Writing: Claude Code Field Guide
About
I build AI systems that turn messy product intent into useful workflows: context harnesses, RAG products, multi-agent automations, analytics surfaces, and the glue code that helps teams ship faster.
I am currently a Senior AI Developer at Accellor, with prior data science work across RevSure AI, Pixis, and LEAD School.
Projects
Minimalist Plain Text Portfolio
Minimalist plain-text version of the portfolio for rajsharma.space with fast reading, direct links, resume, writing, and project summaries.
Sparkpad
Markdown-first text workspace with diagram + math rendering.
SplitKar Platform
Expense splitting + collaboration product built as a multi-repo system (core + UI + chat).
ZenConnect (SplitKar Chat)
Chat + collaboration surface paired with SplitKar.
Sheetwise Expense Buddy
Utility app for streamlined expense workflows and summaries.
ActionHub Website
Marketing + documentation site for ActionHub with SEO-focused updates.
Timer / Clock / Stopwatch
Real-time timekeeping utility app shipped end-to-end.
Invitation / Lifestyle Sites
A set of minimal single-purpose sites demonstrating rapid shipping: invitations, plans, and quick static pages.
Agentic Data Analysis
Exploration into agent-like analytical workflows combining reasoning with structured data steps.
Recommendation System
Classic recommendation modelling foundations for personalization use cases.
Corporate Projects (private)
Reserved entries for corporate work. Company name + timeline will be added once confirmed.
Experience
Senior AI Developer, Accellor
Current AI systems work: Current role, project details coming later.
Data Scientist, RevSure AI
Lead Fit scoring system: Prioritized accounts using firmographic, behavioral, and conversion signals to improve sales targeting efficiency.
Lead Propensity model: Predicted progression across the funnel (MQL→SQL→Opportunity→Closed-Won) to improve forecasting and campaign optimization.
Title Standardization: LLM + rule-based cleaning/normalization for CRM job title data to improve downstream model performance and reporting.
Probabilistic multi-touch attribution: HMM-based attribution to quantify channel impact and move beyond static rule-based attribution.
Buying Stage inference: Combined product, marketing, and sales signals to infer customer journey stages and provide real-time visibility.
LLM-based data standardization: Applied LLM-based semantic normalization techniques to reduce manual effort and improve data quality across pipelines.
Data Scientist, Pixis
Predictive targeting & optimization models: Behavioral, engagement, and contextual signal models to improve campaign performance.
Marketing data pipelines: Built real-time + batch processing pipelines using AWS S3 + Athena for ML inference and reporting.
Feature engineering framework: Reusable feature creation workflow to transform raw signals into ML-ready inputs.
Codeless AI infrastructure: Enabled non-technical users to leverage ML insights in workflows.
Early generative AI experiments: Prompt-based experimentation and integrations for targeting/segmentation automation.
Product Analyst I, LEAD School
Product dashboards & reporting: Built interactive dashboards to track performance and business metrics for product teams.
Reporting pipeline automation: Automated reporting workflows using Python + Airflow, reducing manual reporting effort.
Student Representative, Career and Placement Cell, IIT Mandi
Placement policy & stakeholder communication: Improved student placement experience and policy execution through coordination with academic departments and administration.
Intern, Geo Carte Radar Technology Pvt. Ltd.
Crack detection POCs: Led POCs and problem-solving for crack detection using tooling and data interpretation.
Data quality & troubleshooting: Troubleshot technical issues to ensure accurate submissions and data integrity for contractors.
Skills
Core Skills
Tech Skills
Writing
Claude Code for Beginners: 10 Habits That Change Everything
Ten habits that make Claude Code feel less random and more like a useful coding partner.
Claude Code Advanced Workflow: The Full Stack
A full-stack workflow for planning, model choice, memory, review, hooks, skills, and parallel execution.
Hooks: Give Claude Code Guard Rails That Actually Run
How to turn repeated reminders into Claude Code hooks that actually run.
Skills: Repeatable Process On Demand
Why reusable skills beat ad-hoc prompts for engineering workflows that need process.
Slash Commands: The Power Shortcuts Most Developers Overlook
A practical map of the slash commands worth building into Claude Code muscle memory.
Plan Mode: Think Before You Code
How plan mode separates deciding what should change from writing the code.
Commands vs Skills: Know the Difference, Use Both Right
A modern decision rule for choosing between prompt-like commands and structured skills.
Resume
Formal wording: Senior AI Developer at Accellor, Data Scientist at RevSure AI and Pixis, Product Analyst I at LEAD School.
Life
Early years with my maternal grandparents
The first chapter was rooted in Chauri, around my maternal grandparents' home. It gave me a grounded start: family, discipline, and the kind of curiosity that comes from watching people solve everyday problems with limited resources.
- Grew up close to family and village life
- Built early curiosity through observation
- Carried a grounded sense of effort into school
Village-school foundation through Class 2
Primary schooling started in my village, Kanhaiyachak. It was a simple beginning, but it built the first habits of showing up, learning steadily, and staying close to the realities around me.
- Early schooling through Class 2
- Village-first learning environment
- Built consistency before moving to Jehanabad
Middle-school years at Shanti Kunj Public School
At Shanti Kunj Public School, the academic world widened. This was where school became more structured and I started building confidence across subjects.
- Moved from village schooling into Jehanabad
- Built stronger academic rhythm
- Continued developing interest in science and problem solving
Maths and physics foundation at Bal Vidya Niketan
Bal Vidya Niketan became the phase where maths and physics started standing out. The focus shifted from just doing well in class to preparing for a larger academic path.
- Strengthened mathematics and physics
- Built exam discipline and competitive intent
- Prepared the base for science and JEE preparation
Science and JEE preparation at Abhayanand Super 30
The Super 30 phase in Patna sharpened everything: science, JEE preparation, independence, and the belief that a student from a small-town background could compete at a national level.
- Studied science with a strong maths and physics focus
- Prepared intensively for JEE
- Built resilience, discipline, and independent thinking
B.Tech in Civil Engineering with a management minor
IIT Mandi gave me a technical foundation through Civil Engineering, plus a management minor and a wider world of projects, leadership, and problem-solving. It was also the bridge from academic strength into product and data thinking.
- B.Tech in Civil Engineering with a minor in Management
- Built technical, analytical, and leadership foundations
- Represented IIT Mandi in technical competitions and campus initiatives
From analytics and data science to agentic AI engineering
The professional chapter started with product analytics, moved into production data science and revenue intelligence, and now sits in agentic AI systems: RAG, multi-agent workflows, AI agents, and generative AI products.
- Product analytics and reporting automation at LEAD School
- Production ML, campaign optimization, and data systems at Pixis and RevSure AI
- Current focus: agentic AI systems and multi-agent workflows at Accellor
Contact
Preferred channel: contact@rajsharma.space.