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+998-9 9-8 19 0018a za m .t u rg unb oye v@ gm ail.c o ma za m -tu rg unb oevTa sh ke n t, U zb ekis ta nBa ch elo r o f S cie n ceC S i n P o lit e cn ic o d i T o rin o20 17 - 2 0 22Pro a ctiv eC olla b ora tiv eE D UC ATIO NSTR EN G TH S
A ZA M T U RG UN O V
So ft w are D eve lo p erEx p erie n ce• O ptim iz e d a nd r e fa cto re d S Q L q uerie s a nd s p ed u p e xe cu tio n t im e b y 15 0 %
• Im ple m en te d p ro d uctio n s e rv ic e f r o m s c ra tc h f o r f in d in g a p ostc o d e(zip c o d e) f r o m
a ddre ss a t t h e c o untr y le ve l
• R e g ula rly c o lla bora te d w ell w it h m ana gem en t a nd m ob ile t e a m s a nd c u sto m ers ' s id e
• M ana ged a r e -e n g in eerin g p ro ce ss o f t h e p ro je ct t o im pro ve a nd c o nso lid ate e n d -
to -e n d s e rv ic e p ro ce sse s
• P ro a ctiv e ly m onit o re d , id en tif ie d , a nd f ix e d s y ste m p erfo rm ance is su es
• P a rtic ip ate d in b uild in g t h e a rc h it e ctu re f o r d ed ic a te d s e rv ic e a nd s u p port u ntil t h e
fu nctio na lit y g oes liv e
• P ro m ote d t o T e a m le a der
U se d : .N ET F ra m ew ork , A SP.N ET W eb A PI, C # , E F, M S S Q L S e rv e r, R a bbit M q, R ed is , E la stic
S e a rc h , V ue.j s , R ed oc, R D P
So ft w are E n g in eerJu n 2 0 23 - P re se n tBiz c o m L LC | P ro d uct: H yb rid M ail l T a sh ke n t, U zb ekis ta n• D esig ned a nd s c a le d t h e a rc h it e ctu re f o r a g ro w in g b usin ess
• B u ilt m ic ro se rv ic e s a nd m od ula r m ono lit h s in G o a nd .N ET f r o m s c ra tc h
• M ig ra te d le g acy s e rv ic e a nd d ata f r o m S Q L S e rv e r t o M ong oD B
• Im ple m en te d e n g in ee rin g p ra ctic e s b y im pro vin g r e lia bilit y a nd p erfo rm ance
• P a rtic ip ate d in w rit in g p ro d uct f e a tu re s a nd p la tfo rm c o nfig ura tio ns
• M ain ta in ed d ocu m en ta tio n o n d eve lo p ed s o lu tio ns
U se d : G ola ng , C # /.N ET 6 , N od e.j s , M ong oD B, M aria D B, R ed is , g RPC , R a bbit M q, R ea ct,
S w agger, M ic ro se rv ic e s, 1 2 F a cto r A pps, D ocke r, G it L a b
B a cke n d S o ft w are D eve lo p erFe b 2 0 22 - J a n 2 0 24A rt o f B u sin ess A ss is ta nce L LC | H ip po l T a sh ke n t, U zb ekis ta nEn g lis hR u ssia nL A N G UA G EFle xib leC # .N ET S Q L Q A D ata A na ly tic s
Pro d uct O w ners h ip G o
Te n a cio usU zb ekI T A KE P R ID E I NM y jo urn ey f r o m e n tr y -le ve l p osit io ns t o h ig her r o le s in t h e c o m panie s
I'v e b een a p art o f.
E ffe ctiv e ly s u p portin gth e t e a m w hen it m att e re d m ost.“ L if e is a c o n sta n t f lo w , a n d a d ap tin g t o c h an ge
a ll o w s f o r g ro w th a n d r e sili e n ce .”
U p per In te rm ed ia te A d va nce d N ativ e F u ll S ta ck S o ft w are D eve lo p erJa n 2 0 21- J u n 2 0 23• L e d a t e a m o f d eve lo p ers a nd s e rv e d a s p ro d uct o w ner
• D ir e cte d t h e a na ly sis a nd p rio rit iz a tio n o f b usin ess r e q uir e m en ts , p ro je ct p la nnin g , a nd
eva lu a tio n
• D ir e cte d t h e f o rm atio n o f a rc h it e ctu re , s e le ctio n o f t e ch s ta ck, c o ntr o llin g t h e
exe cu tio n
• M ana ged t h e d eve lo p m en t t e a m : p la nnin g , o p tim iz a tio n, c o ntr o l o ve r c o m plia nce w it h
d ea dlin es, a nd q ua lit y o f d eve lo p m en t
• P a rtic ip ate d in t h e d eve lo p m en t o f c rit ic a l c o d e s e ctio ns, a nd c o nd ucte d c o d e •
r e vie w s
• N eg otia te d w it h e xte rn a l s e rv ic e p ro vid ers , p artn ers
U se d : .N ET F ra m ew ork , A SP.N ET W eb A PI, C # , E F, M S S Q L S e rv e r, R a bbit M q, R ed is , E la stic
S e a rc h , V ue.j s , R ed oc, R D P
B iz c o m L LC | P ro d uct: H yb rid M ail l T a sh ke n t, U zb ekis ta n
Ex p erie n ce• D eve lo p ed a nd t e ste d p ro ce sse s t h a t m ee t t h e n eed s o f t h e b usin ess;
• P ro p ose d n ew d ocu m en tin g p ro ce sse s t h a t le d t o a n im pro ve m en t b y 17 0 %
• P a rtic ip ate d in Q A a nd w ro te E n d -To -En d t e sts
• M ain ta in ed in te g ra tio n p ro ce sse s a pply in g b est p ra ctic e s in A PI a nd In te g ra tio n
(A PIN )
• P e rfo rm ed h a nd s- o n d eve lo p m en t, c o nfig ura tio n, a nd t r o ub le sh o otin g o f s o lu tio ns
• P ro vid ed s u p port t o t h e p ro je ct le a ders h ip t e a m w it h s c o p in g a nd d eve lo p m en t
estim ate s
U se d : C # /.N ET 4 .8 , A SP.N ET M VC /W eb A PI, M S S Q L S e rv e r, V ue.j s , S ig na lR , S w agger,
R a piD oc, R ed oc, A zu re A pp S e rv ic e / F u nctio ns
Fu ll S ta ck D eve lo p erS e p 2 0 21 - F e b 2 0 22 Sp a ce O nli n e G en esis L LC | P ro d uct: F a ktu ra l T a sh ke n t, U zb ekis ta nSo ft w are I n te g ra tio n D eve lo p erS e p 2 0 20 - S e p 2 0 21Sp a ce O nli n e G en esis L LC | P ro d uct: F a ktu ra l T a sh ke n t, U zb ekis ta n• N eg otia te d w it h e xte rn a l s e rv ic e p ro vid ers , p artn ers
• M ain ta in ed in te g ra tio n p ro ce sse s a pply in g b est p ra ctic e s in A PI a nd In te g ra tio n
(A PIN )
• In ve stig ate a nd s u p p ort t r o ub le sh o otin g is su es a nd w ork c lo se ly w it h t h e
d eve lo p m en t t e a m t o id en tif y t h e r e q uir e d r e so lu tio n
U se d : C # /.N ET 4 .8 , A SP.N ET W eb A PI, M S S Q L S e rv e r, S w agger, R a piD oc, R ed oc
S o ft w are Q AM ar 2 0 20 - S e p 2 0 20Sp a ce O nli n e G en esis L LC | P ro d uct: F a ktu ra l T a sh ke n t, U zb ekis ta n• P a rtic ip ate d in m anu a l t e stin g o f w eb , A PI, a nd m ob ile a pps
• D eve lo p ed t e st c a se s a nd t e st d esig ns
• M ain ta in ed q ua lit y c o ntr o l o f t h e o utp ut p ro d uct f o r p ro d uctio n
• P a rtic ip ate d in d ete ctin g , d ocu m en tin g , a nd t r a ckin g n o n-c o nfo rm it ie s ( d efe cts ) ,
ta kin g c o rre ctiv e a ctio n t o e lim in a te t h em
• In te ra ctin g w it h d eve lo p ers , a nd a na ly sts , t a kin g p art in w rit in g in str u ctio ns
Pa rtic ip ate d in a dvis in g c o lle a gues in t h e t e a m a nd w rit in g in str u ctio ns
• S u p porte d f o r t e st a uto m atio n
U se d : C # /.N ET 4 .8 , N Unit , S e le n iu m , J M ete r, P o stm an, S w agger
R efe re n ceilk h o m .m akh m ud ov@ hip po.u zEm ail :H ip po In c. / C EOb ahtis h ka @ gm ail.c o mEm ail :H yb rid M ail In c. / C EOB a kh tiy o r A rip ovIlk h o m M akh m ud ov
14 февраля, 2015
Анвар
Город
Ташкент
Возраст
40 лет (13 августа 1984)
4 октября, 2014
Олеся
Город
Ташкент
Возраст
50 лет (21 мая 1974)
19 марта, 2015
Данияр
Город
Ташкент
Возраст
40 лет (12 января 1985)