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App-based C2B marketplace for second-hand cars. Car owners or sellers can evaluate their vehicles by entering vehicle details to get estimated selling prices and can schedule a physical inspection at a nearby available branch through their platform or app. The real-time auction can be conducted through their app for vehicles by allowing their partnered traders to bid on the vehicle. Their services also include test drives, doorstep delivery, and more. Their app is available for iOS and Android devices.

App based platform for buying second-hand cars

We are a turnkey product development company, with an energising team of developers, designers and growth hackers, committed to building apps that wow the world. We work with enterprises, startups and research labs turning their ideas into products. We take care of design, technology and occasionally the GTM too. 

We care about making a difference. Members of our team have built some of India's top startup, design and product communities touching hundreds of thousands of lives. Apps and SDKs built by us have touched tens of millions of lives. 

With our clients, we work with extreme ownership. 
Startups often find us on the strategy desk with the co-founders. 
Our corporate clients view us as strategic partners brought on board for building new product lines, internal tools or MVPs. Our product-led-research methodology has created many award winning products for Research Labs we've worked with too.

- Accomplished rise of 25% and 30% in usage frequency and average session duration respectively by optimising the deployed TTS Cross-Lingual Voice Cloning model by plotting graphs between reference transcript and spectrogram-energy-frequency of generated speech for locating misaligned portions in generated speech, conducting experiments to achieve few-shot cloning, and adding language-specific and RegEx rules to lower Phoneme Error Rate by 9%.

- Scaled optimized model to 4 new languages by training on 200+hrs of data over Google Cloud Platform (GCP).

- Reduced data curation time by 40% by developing Ol﻿igoFinder, an open-source module based on BioBERT model fine-tuned for Name Entity Recognition to automatically extract Oligonucleotides from research papers. 

- Developed active-learning pipeline using RegEx, NLTK and BOWs to curate dataset of 7000 pairs of sentence and oligo mentions for fine-tuning and evaluation. Resultant model achieved Precision: 0.92, Recall: 0.93 and F1: 0.92.

- Developed a facial recognition-based Person Auto-tagging system which labels renowned personalities across a large number of unlabeled photographs stored at Digital Library of DESIDOC, DRDO.

- Architecture inspired by MTCNN and Facenet algorithms achieved 94% and 98% accuracies in face detection and recognition tasks respectively and is deployed using Fl﻿ask.

- Implemented GAN-based Lip-synching system trained on custom-made Indian speakers dataset to achieve Lip Sync Error Distance of 6.512 that creates lip movements based on dubbed audio.

- Designed Flask-based Two-staged Resume Parsing webapp PoC that uses YOLOv5 to extract 6 segments from resumes and spaCyV3's RoBERTa fine-tuned for NER to extract 10 key information from segments with a mAP of 0.783 and test accuracy of 53.97%. Used Beautiful Soup to scrape ~4000 resumes for fine-tuning and validation.

- Integrated face recognition-based feature of Automated Connection Invite Sender to the existing travelling mobile application.

- Reduced the average time spent by 53% by allowing users to automatically search for a person based on his/her photograph and sending a connection request.

Advancing the education and empowerment of impactful students. Erevna, which is Greek for research, is a global 501(c)3 non-profit organization fostering student education and impact through incubation, research, and community. We're comprised of ten entirely student-run, online, open-source, international, and not-for-profit initiatives that inform justice by means of democracy.

Machine Learning Engineer @ Cars24 | Ex- GSOC'22, Dubverse.ai, DRDO, Wow Labz

Malay Joshi