Dhananjay Sharma

Lead ML Engineer

Noida, Uttar Pradesh, India9 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Created 50+ high-quality training datasets for LLMs.
Boosted UI responsiveness by 20% in payment processing.
Developed real-time stock price interface for traders.

Stackforce AI infers this person is a Fintech and AI-focused Software Engineer with strong backend and frontend development skills.

Contact

Skills

Core Skills

Machine LearningArtificial IntelligenceBackend DevelopmentSoftware Development Life Cycle (sdlc)Frontend Development

Other Skills

AI PromptingAlgorithmsAnalytical SkillsArtificial Intelligence (AI)C++CSS3Chart.jsCloud ApplicationsCloud ComputingCoding StandardsCollaborative Problem SolvingCommunicationDartData AnalysisData Analytics

About

I am a Computer Science engineer driven by a passion for Artificial Intelligence, Large Language Models (LLMs), and Machine Learning. My work focuses on building and optimizing AI models by developing high-quality datasets, designing effective prompts, and implementing scalable ML algorithms. With a strong foundation in Data Structures, Algorithms, and backend development using React.js, Node.js, and Python, I enjoy solving complex problems and bringing ideas to production with precision and efficiency. I thrive on creating AI solutions that are not only technically robust but also meaningful and impactful in real-world applications. Currently, I am dedicated to advancing my skills in AI and LLMs to contribute towards building ethical, reliable, and transformative technologies for the future.

Experience

9 mos

Total Experience

9 mos

Average Tenure

Current Experience

Accunai

AI Software Engineer

Jul 2024 – Apr 2025 · 9 mos · Jaipur, Rajasthan, India · Hybrid

AccunAI is now a part of Firstsource.*
⦁ Led the creation of 50+ high-quality training datasets and validated 200+ test cases/prompts, improving LLM accuracy by 15% and reducing data processing errors by 10%.
⦁ Collaborated with a team of 10+ to design and optimize scalable AI/ML algorithms, enhancing automation of internal processes.
⦁ Worked across C++, Python, SQL, and Java to implement robust solutions supporting LLM training pipelines.
Tech Stack: Python, C++, Java, SQL, Prompt Engineering, Scikit-learn, NumPy, Pandas, Jupyter, Git,Linux

PythonC++JavaSQLPrompt EngineeringScikit-learn+7

Mobiquity inc.

Software Developer

Jan 2023 – Jun 2023 · 5 mos · Ahmedabad, Gujarat, India · Hybrid

⦁ Developed and optimized payment processing flows and layouts using Flutter and Dart, boosting UI responsiveness by 20%.
⦁ Built and tested 20+ RESTful APIs for the backend, improving app reliability and reducing latency.
⦁ Engineered secure backend systems using Node.js, ensuring 99.9% uptime while adhering to industry-standard data protection protocols.
Tech Stack: Node.js, Dart, Flutter, MongoDB, REST APIs, Git

Node.jsDartFlutterMongoDBREST APIsGit+2

Jpmorganchase

Software Engineer Virtual Experience

Nov 2022 – Jan 2023 · 2 mos · Bengaluru, Karnataka, India · Remote

⦁ Built a real-time stock price interface using JPMC’s internal frameworks to simulate front-office trading tools.
⦁ Developed dynamic data visualizations with Chart.js and React.js to help traders identify market trends.
⦁ Integrated and tested RESTful APIs, ensuring seamless data flow between backend services and UI components.
Tech Stack: JavaScript, React.js, Chart.js, REST APIs, HTML5, CSS3, Git, JSON

JavaScriptReact.jsChart.jsREST APIsHTML5CSS3+4