Pranav Kandukuru

Software Engineer

Bengaluru, Karnataka, India8 mos experience

Key Highlights

Developed AI solutions saving over 1.4 million business hours.
Finalist in Smart India Hackathon showcasing innovative problem-solving.
Hands-on experience with cutting-edge technologies like 5G and LLM.

Stackforce AI infers this person is a Full-Stack Developer with expertise in AI and Telecommunications.

Contact

Skills

Core Skills

Large Language Models (llm)Python (programming Language)ProgrammingProblem SolvingSoftware Development5gVlsiTeachingUser Experience (ux)User Interface Design

Other Skills

LLMJLanggraphLangChainData StructuresDjangoAlgorithmsNI LabVIEWMATLABv2xSimulinkElectronicsMicrochip PICC (Programming Language)Mathematics EducationVideo Editing

About

🚀 Tech Innovator | Deep Learning and Full-Stack Enthusiast 🚀 Hello! I'm Pranav, a tech enthusiast passionate about pushing the boundaries of what's possible. From crafting AI-powered solutions at Adobe to pioneering web development projects, I thrive on turning innovative ideas into reality. 🔧 With hands-on experience in C/C++, Python, ReactJS, Django, MongoDB, and 5G technology and V2X communication, I’m dedicated to embracing cutting-edge innovation. 💡I've honed my skills through experiences as a finalist in the Smart India Hackathon, by taking part in E-Yantra at IIT Bombay, which has not only enhanced my technical prowess but also made me a fast learner, an effective team leader, and an excellent communicator. Let’s connect and create tech magic together! 💥

Experience

8 mos

Total Experience

8 mos

Average Tenure

8 mos

Current Experience

Ibm

2 roles

Software Developer

Aug 2025 – Present · 8 mos

Software Development Intern

Feb 2025 – Aug 2025 · 6 mos

"Adaptive optimisation of prompts with RAG and LLM as a Judge"
Developing a re-usable framework for evaluating the correctness of human language responses by LLMs.
Working on building LLM Agents and LLM as a Judge with various WatsonX models and Meta Llama models using various frameworks like LangChain and LangGraph for maintaining the workflow of Agents and prompt templates.
Evaluation of LLMs is done by Opik and Phoenix Arize, self-hosted using Kubernetes.

Large Language Models (LLM)LLMJPython (Programming Language)LanggraphLangChain

Adobe

Summer Intern

May 2024 – Jul 2024 · 2 mos · Bangalore Urban, Karnataka, India · On-site

Developed an AI-powered case management solution that streamlines the analysis of Clinical Study Reports by leveraging Generative AI alongside six integrated tools to automatically extract and populate CIOMS forms. The solution also automates end-to-end workflows, including project setup, report generation, dashboard creation, and proofing processes, delivering significant operational efficiency and resulting in savings of over 1.4 million business hours.

Problem SolvingSoftware Development

King mongkut's university of technology north bangkok

Intern

Jun 2023 – Jul 2023 · 1 mo · Bangkok, Bangkok City, Thailand · On-site

Completed an internship focused on 5G Technology, specializing in the implementation of real-time V2X Communication.
Successfully executed a project centered around the initialization of V2X Communication using the ADALM-Pluto, a Software Defined Radio (SDR) hardware device.
Developed a full-duplex communication capabilities of the ADALM-Pluto device, by Matlab and Simulink.
Gained exposure to NI-USRP and LabVIEW programming.
Collaborated with Professor Vitawat S., fostering a positive working relationship and benefiting from his expertise.

5GProgrammingNI LabVIEWMATLABv2xSimulink