KUNAL SINGH
KUNAL SINGH

Software Engineer

Actively looking · Member since 4 Sep 2026
Message
Location
Delhi, India
Desired salary
Confidential
Work preference
Remote Only / Full Time, Part Time, Contract, Freelance, Temporary
Experience level
Junior

About

Professional summary

I am a Software Engineer with a Computer Science background and hands-on experience building AI-powered applications, automation workflows, backend APIs, and responsive web interfaces.

I currently work at Technocratiq Digital, where I design scalable automation systems and connect business platforms through REST APIs and AI-driven pipelines for marketing, CRM, analytics, reporting, and operations.

My technical foundation includes Python, C++, SQL, React.js, Node.js, Express.js, MongoDB, and cloud-connected application development. I enjoy translating operational needs into reliable systems that reduce manual work and improve visibility.

I have practical experience in generative AI, natural language processing, retrieval-augmented generation, vector embeddings, prompt optimization, fine-tuning, and conversational AI evaluation. I have worked with LLM APIs and frameworks such as LangChain, Hugging Face, TensorFlow, and PyTorch.

Through internships at Manipal Business Solution, Thales Group, and MI Matdar, I delivered workflow automation, data analysis, enterprise NLP solutions, and full-stack applications. These roles strengthened my ability to collaborate in Agile teams and produce production-oriented technical solutions.

I am fluent in English and a native Hindi speaker. I have also led hackathon teams, solved more than 210 coding problems, and volunteered in event logistics coordination.

Notice period: Immediately

Skills

24 capabilities

Tech stack & tools

Working toolkit

Application Hosting

Application Utilities

Data Stores

Experience

Career history

Software Engineer Technocratiq Digital Pvt. Ltd.

I orchestrate more than 47 automation workflows across marketing, CRM, analytics, lead generation, and internal operations, improving efficiency and reducing manual effort.

I architect scalable systems for task tracking, reporting, notifications, and workflow execution. I connect business platforms through REST APIs and AI-driven automation pipelines to improve lead management, campaign monitoring, client onboarding, reporting, and operational insights.

AI Intern Manipal Business Solution

I automated business workflows using Python, APIs, and Google Sheets, reducing manual reporting effort by 90%. I also analyzed operational datasets and created KPI reports to support leadership decisions and process optimization.

I refined conversational AI workflows through prompt optimization, intent validation, and response evaluation, increasing answer accuracy by 25%. I additionally trained task-specific models using labeled datasets, diagnostics, and performance benchmarking.

Engineering Intern Thales Group

I designed and deployed a generative AI platform using Google Gemini and OpenAI APIs, embedding LLM capabilities into enterprise NLP pipelines. I developed prompt templates and tuned inference processes to improve output relevance by 30%.

I conducted data analysis and model fine-tuning with Python and TensorFlow, reducing processing latency by 25% while supporting production-scale deployment. I also delivered a demo-ready capstone with technical documentation and incorporated cross-functional feedback.

Full Stack Developer Intern MI Matdar

I developed a responsive React.js and Tailwind CSS frontend, resolved UI/UX issues, and implemented lazy loading to improve page load performance. I built scalable REST APIs with Node.js and Express.js, improving response time by 40%.

I integrated MongoDB with schema design and query optimization, improving data retrieval efficiency by 35%. I collaborated in an Agile team of seven members and deployed builds through Vercel and Netlify while maintaining 95% test coverage.

Education

Learning history

Gautam Buddha University

Bachelor of Technology, Computer Science

Relevant coursework included Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems, Machine Learning, and Natural Language Processing.

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