Headline

Junior AI Engineer at Flam

About

I’m a final year Computer Science student with a strong foundation in building intelligent, scalable applications. I specialize in full-stack development using React, Next.js, FastAPI, and MongoDB, and work extensively with cloud platforms like AWS. I’m passionate about machine learning and GenAI, with hands-on experience using Langchain, Hugging Face, and LLMs to develop smart, adaptive systems. I’m also deeply interested in blockchain, MLOps, and modern software engineering practices.

Location

Pune Division

AI stack

claude code

hugging face

notion

ollama

ChatGPT

vLLM

Work experience

Junior AI Engineer at Flam, Jun 2026 - Present · 4 mos, Bengaluru, Karnataka, India

AI Intern at Flam, Aug 2025 - May 2026 · 10 mos, Banglore

Software Engineer – AI Product Development at OpenLynks, Apr 2025 - Aug 2025 · 5 mos, Hybrid, • Built end-to-end AI-powered solutions to automate the entire supply chain lifecycle, from procurement to delivery. • Worked with advanced LLMs including Claude and Command R for intelligent decision-making and automation. • Gained hands-on experience with key AWS services such as Bedrock, RDS, SageMaker, OpenSearch, S3, and EC2. • Designed and deployed AI agents on AWS Bedrock, trained on domain-specific knowledge bases for accurate contextual responses. • Developed a self-service POC for clients that automated quotation workflows—fetching product enquiry emails, generating quotations, and enabling approval, all with minimal human intervention. • Built interactive dashboards and portals to showcase agents and models using MERN stack and Streamlit, enhancing user interaction and visibility.

Full Stack AI Intern at Supervaisor.ai, Apr 2025 - Aug 2025 · 5 mos, Remote, • Assisted in building a Retrieval-Augmented Generation (RAG) application for RERA-related document verification, enabling automated compliance checks using large language models. • Contributed to training and fine-tuning multiple AI models for tasks including human tracking, action detection, and anomaly detection in real-time systems. • Developed interactive frontends using Next.js and React.js to enhance user interaction with AI-driven features. • Supported the development and integration of FastAPI backends and Flask applications for seamless API communication and deployment. • Designed and implemented a project to analyze advertisement effectiveness by comparing banner ad visibility with actual product enquiries, providing insights into conversion rates. • Helped build a real-time Chrome extension to scrape structured data from any e-commerce webpage, using AI-suggested fields, human prompt input, and click-to-select functionality. * Gained hands-on experience with computer vision and ML frameworks such as YOLO, MMAction, and vector databases like Pinecone for semantic retrieval tasks.

Frontend Developer and GenAI Engineer at The Squirrel, Jan 2025 - Feb 2025 · 2 mos, Remote, Frontend Developer | Crowdfunding Platform Development • Engineered and implemented responsive frontend architecture for a crowdfunding platform similar to AidCircle utilizing React.js and Next.js • Developed and integrated multiple complex UI components, enhancing user experience and donation flow • Collaborated with cross-functional teams to ensure seamless integration between frontend interfaces and backend systems GenAI Developer | Chatbot Enhancement • Enhanced performance and user interaction capabilities of an enterprise-level chatbot system for technology platforms similar to SocialHardware • Integrated Retrieval-Augmented Generation (RAG) pipelines, significantly improving response accuracy and relevance • Implemented efficient data retrieval mechanisms to ensure contextually appropriate responses • Optimized query processing time, reducing latency while maintaining high-quality interactions

Research Assistant at Indian Institute of Information Technology Dharwad, Dec 2024 - Apr 2025 · 5 mos, Hybrid, • Designed and implemented innovative approaches for sentence and concept ranking using semantic information retrieval rather than traditional lexical methods, resulting in more contextually accurate summaries. • Pioneered lightweight optimization techniques (LoRA/QLoRA) for LLaMA 3 models, enabling efficient fine-tuning while maintaining performance integrity. • Developed sophisticated knowledge graph integration frameworks to enhance semantic understanding and representation in domain-specific summarization tasks. • Engineered dynamic topic modeling workflows that extract and analyze key concepts to produce concise, informative summaries from complex healthcare documentation. • Created novel embedding visualization techniques using TensorBoard and Weight & Biases (WandB) to better understand semantic relationships between concepts.

Education

Bachelor of Technology - BTech, Computer Science and Engineering, indian institute of information technology dharwad

JEE Mains and JEE Advanced, Bakliwal Tutorials

Public links

github: https://github.com/Parth0124