Profile
I’m currently a Project Associate at the SPIRE Lab, IISc Bangalore, working on research problems in speech and signal processing. My interest in applied AI began during my B.Tech at Silicon University and was further shaped by an internship at Squbix Digital, where I worked on deploying and fine-tuning ASR and OCR models. I also led the AI/ML track at my university’s GDSC chapter, where I gained experience in collaboration and open technical discussions—skills I now apply in my research.
Experience
Project Associate
SPIRE Lab, IISc Bangalore | Bangalore- Conducting experiments and working on research problems in speech and signal processing.
AI Engineer
Squbix Digital | Bhubaneswar, India- Developed and deployed AI solutions, including transcription systems, using LLMs and efficient server APIs.
- Contributed to production launches on AWS with memory-efficient servers and Supervisor APIs.
- Worked on real-time transcription and diarization systems using Whisper, AssemblyAI, and Pyannote.
- Improved cloud-based processing pipelines for faster and more accurate ML inference.
Apprenticeship
Ingenious-Tech World | Remote- Mentored 70 students in the first year and 60 in the second year, guiding them in lab classes on Cloud Platforms.
- Assisted students with troubleshooting and debugging issues during lab sessions focused on Cloud Computing.
- Provided hands-on workshops which focus on deploying an end-to-end Web Server on Cloud.
AI/ML Lead
GDSC Silicon Chapter | Bhubaneswar, India- Connecting with Light-minded people.
- Enhanced my teaching and management skills.
- Conducted workshops on Machine Learning from Basics to Advanced Algorithms.
Skills
Programming Languages: Python (Proficient) | GO (Beginner) | RUST (Beginner)
Framework: TensorFlow | SK-Learn | PyTorch | Huggingface
AI/ML & Prompt Engineering: Prompt Engineering using GROQ AI, Mixtral AI; Model fine-tuning (Whisper, YOLO, Paddle OCR, ASR models); NLP techniques (NER, VAD) from unstructured data and OCR-extracted PDFs.
Developer Tools: Git | Jupyter Labs | Jenkins | Terraform | Weight & Biases
Cloud Computing: AWS (EC2, S3, Lambda) | Azure
Data Processing & Visualization: NumPy, Pandas, Matplotlib, OpenCV; Apache Spark, Hadoop; Tableau, Power BI
Backend: Flask | WebSocket Client | API Endpoints
Projects
Trannote
Objective: To transcribe the speech in real time, and know who speaks what?
- Used Whisper-medium locally for transcribing the speech in real time.
- Speaker diarization was possible by calling api's from assemblyai.
NCERT-BOT
Objective: To help students of CBSE board to interact with their books and you-tube lectures.
- Web-Scraping using Selenium and BeautifulSoup.
- Using self-RAG for text summarization.
Education
Bachelor of Technology, Electrical And Electronics
2021 – 2025
Higher Secondary Education
2018 – 2020
Courses & Certificates
DevOps, Ingenious Tech-World (Remote)Jun 2024 – Aug 2024
Deep Learning, NPTEL (India)2024
Azure Masters, Silicon Institute Of TechnologyMay 2023 – Jun 2023
Cyber Security and Privacy, NPTEL (India)2023
Interests & Achievements
Interests: Generative AI, Cyber Security, Technical Writing, Ontology Based Models
Achievements: Editor at Publication Cell of Silicon University (Slate); Contributed to Opensource at HACKTOBERFEST'23 (Four Pull Requests Merged).