.png){kind=logo}
Dhananjay Sharma
Mid-level Full-Stack Engineer specializing in AI and FinTech platforms
Connect with Dhananjay
Dhananjay already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Recommended
Already have an account?
About
Full-stack engineer who built RegArt’s product from 0→1 for enterprise compliance users at clients like HSBC and EY, including the production React frontend, backend APIs, and an LLM-powered search experience. Particularly compelling for startups needing someone who can move across UI, API, and data layers, make pragmatic architecture tradeoffs, and ship fast without over-engineering.
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Key Strengths
- Built a production React frontend from scratch for enterprise compliance users
- Strong full-stack ownership across frontend, backend APIs, and data layer
- 0→1 startup execution in a small team environment
- Pragmatic React architecture and state management decisions
- Frontend performance optimization with memoization and virtualization
- Type-safe API modeling and safe refactoring with TypeScript
- Behavior-focused component and hook testing with React Testing Library and Jest
- Fast iteration by aligning API design directly to frontend needs
- End-to-end ownership of LLM-powered search
- Improved search workflow from minutes of manual scanning to sub-second results
- Post-launch tuning of semantic search relevance based on user behavior
- Domain experience in regulatory/compliance workflows
Reference Highlights
- strong end-to-end ownership
- handles ambiguous requirements well
- builds reliable and scalable capabilities
- consistently ships
- focus on usability, performance, and maintainability
- meaningful impact for users and engineering teams
- reduced manual review effort
- improved user turnaround time
- strong production React and TypeScript proficiency
- clean and maintainable frontend architecture
- reusable component design
- effective state management choices
- strong product instincts
- balances technical complexity with user needs
- pragmatic tradeoff-making
- improves workflow clarity, reliability, and speed
- strong communication
- strong follow-through
- kept end users in the loop
- captured feedback effectively
- aligned product direction with user expectations
- operates with total autonomy
- delivers well thought optimized solutions
- advanced React and TypeScript proficiency
- pragmatic and business-focused decision making
- prioritizes incremental risk-free improvements
- maintains product velocity
- builds for user context
- creates fast intuitive highly responsive interfaces
- spots what users really want
- proactive engagement with end users
- identifies disconnects in requirements
- communicates effectively with product stakeholders
- rapid prototyping
- improved client confidence and accuracy in time-sensitive FX trades
- delivered 10x speed improvement
Dhananjay's references speak for themselves. Let us connect you.
Experience
Education
Skills
Languages
Publications
1 publication
Browse Similar
Similar Candidates
Principal Data Scientist & AI/ML Engineer specializing in LLMs, recommender systems, and MLOps
George Sun
Mid-level investor specializing in cross-border private equity and tech
“Investor/banker with cross-border sourcing experience spanning JPMorgan, Ascendant, Pumavira, and EQD, covering AI, advanced manufacturing, TMT, and consumer healthcare. Stands out for turning cold founder outreach into long-term banking engagements and for combining high-volume sourcing with rigorous early-stage commercial and regulatory screening.”
Esha Pahwa
Intern Machine Learning Engineer specializing in LLM agents and multimodal reasoning
“LLM/agent engineer who built a production code-generation agent at Corvic AI that lets non-technical users query CSV/tabular data in natural language by generating and executing Python. Focused on making LLM systems reliable and scalable via schema-aware validation, sandboxed execution-feedback retries, prompt caching/embeddings, async execution, and high-throughput data processing with Polars; also partnered with Adobe product/marketing to ship brand-aligned AI content generation for email and push notifications.”
Frederick Chang
Executive AI founder specializing in machine learning for drug discovery
“Entrepreneur building an AI-driven small molecule biotech startup who has already raised $5M from major venture capital investors. Brings 3 years of fundraising experience and a thoughtful approach to aligning investors with different risk profiles across financing stages, paired with strong conviction around founding high-risk, high-upside companies.”
Interested in Dhananjay?
We'll personally introduce you - no strings attached.
Build your dream team with Reval
Our AI agents source, screen, and vet candidates for your open roles. Get qualified, high-intent candidates on your desk within 48 hours.
Discover more candidates like Dhananjay
Search across thousands of pre-screened, high-quality, high-intent candidates on Reval.
Search Talent