Projects

Short Video Production Platform with GenAi

This pro­ject con­sis­ted of two inter­con­nec­ted sub­pro­jects. 1️⃣ Sto­ry Gene­ra­ti­onThe first part focu­sed on buil­ding a sys­tem capa­ble of con­s­truc­ting short nar­ra­ti­ves — ran­ging from 30 seconds to 5 minu­tes — based on a user prompt. The main chall­enge was desig­ning an agen­tic work­flow that could auto­no­mously crea­te coher­ent, enga­ging,

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Style Coherent Fashion Recommender with GenAi

After recent deve­lo­p­ments in GenAI, par­ti­cu­lar­ly in Visi­on-Lan­­guage Models (VLMs), the fashion pro­ject I star­ted 1.5 years ago to deve­lop an out­fit recom­men­da­ti­on sys­tem seems alre­a­dy out­da­ted. The pro­ject is out­lined here. In ear­ly 2023, using VLMs was alre­a­dy an opti­on; howe­ver, due to the insuf­fi­ci­ent matu­ri­ty of available models, I cho­se a dif­fe­rent approach descri­bed here. Dri­ven by curio­si­ty, I deci­ded to revi­sit the pro­ject in a redu­ced form, as sca­la­bi­li­ty is not a con­cern for this ite­ra­ti­on.

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Self-Learning Facial Recognition System

This pro­ject is descri­bed in more detail below under my job expe­ri­en­ces. I’m men­tio­ning it here sepa­ra­te­ly becau­se I spent almost 2 years working on the sys­tem and deve­lo­ped deep exper­ti­se in self-lear­­­ning AI archi­tec­tures, lar­­­ge-sca­­­le data pipe­lines, and SAP and AWS-based inte­gra­ti­ons. Unfort­u­na­te­ly, due to strict secu­ri­ty and con­fi­den­tia­li­ty

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ML Based Outfit Recommender System

Fashion is high­ly sub­jec­ti­ve, making it dif­fi­cult to deve­lop a sys­tem that can uni­ver­sal­ly recom­mend sty­lish and diver­se out­fits. Indi­vi­du­al pre­fe­ren­ces, sar­to­ri­al liter­acy, and per­so­nal expe­ri­en­ces great­ly influence how peo­p­le per­cei­ve and cate­go­ri­ze styl­es. Deve­lo­ping an algo­rithm that can navi­ga­te the­se nuan­ces and deli­ver per­so­na­li­zed, accu­ra­te recom­men­da­ti­ons is a com­plex task.

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Automated Image Captioning PoC

I was respon­si­ble for the enti­re tech­ni­cal con­cept, fea­si­bi­li­ty stu­dy, and cli­ent com­mu­ni­ca­ti­on. Over the cour­se of the pro­ject, I deve­lo­ped a deep learning–based sys­tem for auto­ma­ted image cap­tio­ning. The main chall­enge was to com­bi­ne mul­ti­ple data sources — inclu­ding the image its­elf — into a sin­gle gram­ma­ti­cal­ly cor­rect Ger­man

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Analysis of EEG data from hypnotized individuals

I con­duc­ted an in-depth inves­ti­ga­ti­on of a new­ly coll­ec­ted EEG data­set to explo­re whe­ther mea­sura­ble dif­fe­ren­ces exist bet­ween indi­vi­du­als with high and low hyp­no­tiza­bi­li­ty. The stu­dy focu­sed on two key aspects: spec­tral power and func­tion­al brain con­nec­ti­vi­ty. After an exten­si­ve lite­ra­tu­re review and the appli­ca­ti­on of advan­ced sta­tis­ti­cal methods, I

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