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Pranoschal Saikia

@pranoschalsaikia

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Full-stack developer specializing in Next.js and LLM-driven analytics to automate workflows and boost efficiency.

India

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What I'm looking for

I seek a role building LLM-first, automation-focused full-stack products where I can deliver measurable impact, collaborate with cross-functional teams, and grow in AI and production engineering.

I am a full-stack developer with hands-on experience building LLM-powered web applications and real-time analytics platforms that automate workflows, reduce manual effort, and improve user engagement. At ITC Infotech I architected Next.js solutions integrating CopilotKit, Vercel AI SDK and MCP servers to deliver measurable business impact—cutting report generation times, automating replenishment orders, and improving support resolution rates.

I have built production systems across frontend and backend stacks including Next.js, Angular, Express, PostgreSQL and Supabase, and delivered features like conversational CRUD, route optimization for delivery fleets, and Excel-style conversational analytics. I bring a results-driven approach focused on automation, reliability and user-centric design, and I am eager to apply LLM-first solutions to solve operational problems at scale.

Experience

Work history, roles, and key accomplishments

Current

Full Stack Developer

Current

ITC Infotech

Jun 2023 - Present (2 years 3 months)

Architected and launched multiple Next.js LLM-powered analytics and support webapps that cut report generation time by 70%, eliminated 15 weekly manual hours for a 6-person analytics team, and reduced average support resolution time by 50%. Built retail operations and route-planning systems that automated 1,500+ daily orders across 45 stores, reduced coordination calls by 63%, improved on-shelf av

Next.js PostgreSQL Angular Supabase

Software Intern

Fox Trading Solutions

Jun 2022 - Aug 2022 (2 months)

Developed a real-time computer vision gesture control system using OpenCV and MediaPipe achieving 95% gesture accuracy and built a sentiment analysis classifier with NLTK and scikit-learn achieving 87% accuracy to automate customer feedback analysis.

OpenCV Python NLTK scikit learn Computer Vision NLP Real Time Systems Mediapipe

Full Stack Developer

Technex

Jan 2022 - Mar 2022 (2 months)

Built a full-stack flight booking web application enabling users to search, book, and cancel tickets online, streamlining reservation workflows and reducing manual booking operations.

Full Stack JavaScript Flask SQL UI UX REST APIs Deployment

Education

Degrees, certifications, and relevant coursework

Tezpur University

Bachelor of Technology, Computer Science and Engineering

2019 - 2023

B. Tech. in Computer Science and Engineering with coursework in Object Oriented Programming, Data Structures and Algorithms, Design of Algorithms, Database Management Systems, and Operating Systems.