Vikrant Saxena Email & Phone Number

Hyderabad, IN

Hyderabad, Telangana, India

Delhi, India

• Scaled revenue from $0 to $100k during 6 months of operations.
• Designed and developed the Translatetracks app backend using Python and FastAPI.
• Implemented a transcription engine integrating Speech-to-Text APIs such as Deepgram, Gladia, and Assembly AI, along with multimedia tools like FFmpeg, Moviepy and Pydub.
• Developed a versatile translation engine leveraging advanced models such as ChatGPT-4, ChatGPT-3.5, and embeddings from OpenAI and Cohere
• Fine-tuned models like Llama-2-7b using LORA and Hugging Face's Parameter Efficient Fine-Tuning (PEFT) for custom functionality.
• Developed predictive machine learning models to automate and optimise the dubbing pipeline.

Hyderabad, Telangana, India

• Developed and deployed backend for the application (inspired from Nikita Bier’s Gas App) utilizinig Python FastAPI, MongoDB, and PostgreSQL.
• Devised innovative user acquisition strategies leveraging Instagram, optimizing engagement and conversion rates.
• Successfully scaled the application's user base to six schools in Delhi, with a total of 2,500 users.

Bengaluru, Karnataka, India

• Deployed AI-based feed monitoring system across multiple recycling plants and Material Recovery Facilities (MRFs) in India and Europe.
• Designed image acquisition pipelines for real-time capture in multi-camera setups.
• Selected for the NVIDIA Inception Startup program and AWS Accelerate, receiving $100K in AWS compute credits.
• Trained millions of images on hundreds of object detection models (Yolo), segmentation models, and image classification models (Googlenet, Resnet, MobileNet, etc.) using Pytorch, Weights & Biases, and Tensorboard.
• Developed in-house image labelling tools and systems to monitor errors, model drifts, and image searches within our datasets.
• Deployed an end-to-end inference pipeline on NVIDIA Jetson for real-time monitoring, processing 100 objects per second.

Mumbai Area, India

• Performed exploratory data analysis to identify critical trends and features influencing process efficiencies.
• Conducted feature engineering and sensitivity analysis to optimize model predictions for key performance indicators.
• Implemented machine learning solutions for real-time predictive analysis.
• Tech Stack - Python, Scikit-Learn, SciPy, Matplotlib, and Seaborn

Hazira, Surat

Varanasi

As the convener of the fest I was responsible for,- Planning and strategizing activities throughout the year.- Effective collaboration within different teams of the fest.- Introducing external participation and raising the footfall substantially. - Launching new events and increasing the scope of student involvement.- Successfully organizing the events.

Varanasi

As the creative head, my roles involved- Working cohesively with the artists and designers - Develop creatives for the events- Designing posters and other publicity content. - Also designed the official Fest T-shirt using Photoshop.

Mumbai

Completed a project on "Harvesting Algae using gravity driven microfluidic hydrodynamic separation of particles"

Bachelor Of Technology (B.Tech.), Chemical Engineering, Cgpa - 8.78/10.0

Education record

AISSCE-2011(Conducted by CBSE) ,Secured 90% aggregate (96% PCM)

Aisse-2011(Conducted By Cbse), Cgpa-10.0

Activities and Societies: Music club , Debate team , Fine arts